GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp
大小17.17 GB
文件数447
Info Hash:8B707FE6211817DFCCD49FB21AA2C5D7939DFB85
收录时间2026-01-05 05:12:09
更新时间2026-01-05 05:12:09
文件列表 (447)
01. Introduction to the Course/01. What is Machine Learning.mp4
45.29 MB
01. Introduction to the Course/01. What is Machine Learning.srt
6.91 KB
01. Introduction to the Course/02. What is Data Science.mp4
42.86 MB
01. Introduction to the Course/02. What is Data Science.srt
5.72 KB
01. Introduction to the Course/03. Download the Syllabus.html
1.03 KB
01. Introduction to the Course/03.1 ML Data Science Syllabus.pdf
103.97 KB
01. Introduction to the Course/04. Top Tips for Succeeding on this Course.html
2.09 KB
01. Introduction to the Course/04.1 App Brewery Cornell Notes Template.html
141 B
01. Introduction to the Course/05. Course Resources List.html
1.13 KB
02. Predict Movie Box Office Revenue with Linear Regression/01. Introduction to Linear Regression & Specifying the Problem.mp4
30.32 MB
02. Predict Movie Box Office Revenue with Linear Regression/01. Introduction to Linear Regression & Specifying the Problem.srt
8.74 KB
02. Predict Movie Box Office Revenue with Linear Regression/01.1 Course Resources.html
122 B
02. Predict Movie Box Office Revenue with Linear Regression/02. Gather & Clean the Data.mp4
97.02 MB
02. Predict Movie Box Office Revenue with Linear Regression/02. Gather & Clean the Data.srt
13.93 KB
02. Predict Movie Box Office Revenue with Linear Regression/02.1 The-Numbers Movie Budgets.html
102 B
02. Predict Movie Box Office Revenue with Linear Regression/02.2 cost_revenue_dirty.csv
374.68 KB
02. Predict Movie Box Office Revenue with Linear Regression/03. Explore & Visualise the Data with Python.mp4
148.15 MB
02. Predict Movie Box Office Revenue with Linear Regression/03. Explore & Visualise the Data with Python.srt
31.02 KB
02. Predict Movie Box Office Revenue with Linear Regression/03.1 Try Jupyter in your Browser.html
85 B
02. Predict Movie Box Office Revenue with Linear Regression/03.2 cost_revenue_clean.csv
90.82 KB
02. Predict Movie Box Office Revenue with Linear Regression/04. The Intuition behind the Linear Regression Model.mp4
29.63 MB
02. Predict Movie Box Office Revenue with Linear Regression/04. The Intuition behind the Linear Regression Model.srt
10.84 KB
02. Predict Movie Box Office Revenue with Linear Regression/04.1 01 Linear Regression (checkpoint).ipynb.zip
37.64 KB
02. Predict Movie Box Office Revenue with Linear Regression/05. Analyse and Evaluate the Results.mp4
105.16 MB
02. Predict Movie Box Office Revenue with Linear Regression/05. Analyse and Evaluate the Results.srt
22.41 KB
02. Predict Movie Box Office Revenue with Linear Regression/06. Download the Complete Notebook Here.html
242 B
02. Predict Movie Box Office Revenue with Linear Regression/06.1 01 Linear Regression (complete).ipynb.zip
75.28 KB
02. Predict Movie Box Office Revenue with Linear Regression/07. Join the Student Community.html
730 B
02. Predict Movie Box Office Revenue with Linear Regression/08. Any Feedback on this Section.html
512 B
03. Python Programming for Data Science and Machine Learning/01. Windows Users - Install Anaconda.mp4
49.6 MB
03. Python Programming for Data Science and Machine Learning/01. Windows Users - Install Anaconda.srt
8.78 KB
03. Python Programming for Data Science and Machine Learning/01.1 Course Resources.html
122 B
03. Python Programming for Data Science and Machine Learning/02. Mac Users - Install Anaconda.mp4
52.41 MB
03. Python Programming for Data Science and Machine Learning/02. Mac Users - Install Anaconda.srt
8.05 KB
03. Python Programming for Data Science and Machine Learning/02.1 Course Resources.html
122 B
03. Python Programming for Data Science and Machine Learning/03. Does LSD Make You Better at Maths.mp4
42.25 MB
03. Python Programming for Data Science and Machine Learning/03. Does LSD Make You Better at Maths.srt
7.35 KB
03. Python Programming for Data Science and Machine Learning/04. Download the 12 Rules to Learn to Code.html
1.13 KB
03. Python Programming for Data Science and Machine Learning/04.1 12 Rules to Learn to Code.pdf
2.25 MB
03. Python Programming for Data Science and Machine Learning/05. [Python] - Variables and Types.mp4
71.36 MB
03. Python Programming for Data Science and Machine Learning/05. [Python] - Variables and Types.srt
16.55 KB
03. Python Programming for Data Science and Machine Learning/06. Python Variable Coding Exercise.html
156 B
03. Python Programming for Data Science and Machine Learning/07. [Python] - Lists and Arrays.mp4
53.47 MB
03. Python Programming for Data Science and Machine Learning/07. [Python] - Lists and Arrays.srt
12.15 KB
03. Python Programming for Data Science and Machine Learning/08. Python Lists Coding Exercise.html
156 B
03. Python Programming for Data Science and Machine Learning/09. [Python & Pandas] - Dataframes and Series.mp4
153.2 MB
03. Python Programming for Data Science and Machine Learning/09. [Python & Pandas] - Dataframes and Series.srt
28.09 KB
03. Python Programming for Data Science and Machine Learning/09.1 lsd_math_score_data.csv
155 B
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4
232.07 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.srt
36.12 KB
03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.mp4
41.61 MB
03. Python Programming for Data Science and Machine Learning/11. [Python] - Functions - Part 1 Defining and Calling Functions.srt
10.49 KB
03. Python Programming for Data Science and Machine Learning/12. Python Functions Coding Exercise - Part 1.html
156 B
03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.mp4
128.2 MB
03. Python Programming for Data Science and Machine Learning/13. [Python] - Functions - Part 2 Arguments & Parameters.srt
20.76 KB
03. Python Programming for Data Science and Machine Learning/14. Python Functions Coding Exercise - Part 2.html
156 B
03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.mp4
82.63 MB
03. Python Programming for Data Science and Machine Learning/15. [Python] - Functions - Part 3 Results & Return Values.srt
16.55 KB
03. Python Programming for Data Science and Machine Learning/16. Python Functions Coding Exercise - Part 3.html
156 B
03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4
156.77 MB
03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.srt
29.86 KB
03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4
171.46 MB
03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.srt
26.51 KB
03. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.mp4
169.98 MB
03. Python Programming for Data Science and Machine Learning/19. Working with Python Objects to Analyse Data.srt
27.29 KB
03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.mp4
81.53 MB
03. Python Programming for Data Science and Machine Learning/20. [Python] - Tips, Code Style and Naming Conventions.srt
16.72 KB
03. Python Programming for Data Science and Machine Learning/21. Download the Complete Notebook Here.html
242 B
03. Python Programming for Data Science and Machine Learning/21.1 02 Python Intro.ipynb.zip
36.44 KB
03. Python Programming for Data Science and Machine Learning/22. Any Feedback on this Section.html
513 B
03. Python Programming for Data Science and Machine Learning/GetFreeCourses.Co.url
116 B
03. Python Programming for Data Science and Machine Learning/How you can help GetFreeCourses.Co.txt
182 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/01. What's Coming Up.mp4
20.92 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/01. What's Coming Up.srt
3.83 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/01.1 Course Resources.html
122 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/02. How a Machine Learns.mp4
22.78 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/02. How a Machine Learns.srt
7.22 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/03. Introduction to Cost Functions.mp4
66.21 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/03. Introduction to Cost Functions.srt
9.49 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/04. LaTeX Markdown and Generating Data with Numpy.mp4
90.52 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/04. LaTeX Markdown and Generating Data with Numpy.srt
17.28 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/05. Understanding the Power Rule & Creating Charts with Subplots.mp4
90.17 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/05. Understanding the Power Rule & Creating Charts with Subplots.srt
18.1 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.mp4
287.46 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [Python] - Loops and the Gradient Descent Algorithm.srt
44.03 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/07. Python Loops Coding Exercise.html
156 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4
291.33 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).srt
42.99 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4
219.01 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).srt
33.54 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4
236.6 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.srt
37.72 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4
193.48 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.srt
26.1 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.mp4
132.81 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.srt
20.23 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.mp4
86.82 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.srt
12.93 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.mp4
131.07 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/14. [Python] - Loops and Performance Considerations.srt
18.07 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.mp4
140.81 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.srt
22.96 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/16. Concatenating Numpy Arrays.mp4
71.33 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/16. Concatenating Numpy Arrays.srt
8.91 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).mp4
64.56 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).srt
12.61 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.mp4
86.9 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.srt
13.52 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/19. Implementing a MSE Cost Function.mp4
81.11 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/19. Implementing a MSE Cost Function.srt
13.56 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/20. Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4
73.16 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/20. Understanding Nested Loops and Plotting the MSE Function (Part 1).srt
13.94 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4
124.88 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).srt
17.45 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/22. Running Gradient Descent with a MSE Cost Function.mp4
111.22 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/22. Running Gradient Descent with a MSE Cost Function.srt
22.32 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.mp4
74.81 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.srt
10.73 KB
04. Introduction to Optimisation and the Gradient Descent Algorithm/24. Download the Complete Notebook Here.html
242 B
04. Introduction to Optimisation and the Gradient Descent Algorithm/24.1 03 Gradient Descent.ipynb.zip
1.14 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/25. Any Feedback on this Section.html
520 B
05. Predict House Prices with Multivariable Linear Regression/01. Defining the Problem.mp4
39.91 MB
05. Predict House Prices with Multivariable Linear Regression/01. Defining the Problem.srt
6.46 KB
05. Predict House Prices with Multivariable Linear Regression/01.1 Course Resources.html
122 B
05. Predict House Prices with Multivariable Linear Regression/02. Gathering the Boston House Price Data.mp4
56.24 MB
05. Predict House Prices with Multivariable Linear Regression/02. Gathering the Boston House Price Data.srt
8.66 KB
05. Predict House Prices with Multivariable Linear Regression/03. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.mp4
87.14 MB
05. Predict House Prices with Multivariable Linear Regression/03. Clean and Explore the Data (Part 1) Understand the Nature of the Dataset.srt
15.59 KB
05. Predict House Prices with Multivariable Linear Regression/04. Clean and Explore the Data (Part 2) Find Missing Values.mp4
135.02 MB
05. Predict House Prices with Multivariable Linear Regression/04. Clean and Explore the Data (Part 2) Find Missing Values.srt
18.59 KB
05. Predict House Prices with Multivariable Linear Regression/05. Visualising Data (Part 1) Historams, Distributions & Outliers.mp4
64.55 MB
05. Predict House Prices with Multivariable Linear Regression/05. Visualising Data (Part 1) Historams, Distributions & Outliers.srt
14.24 KB
05. Predict House Prices with Multivariable Linear Regression/06. Visualising Data (Part 2) Seaborn and Probability Density Functions.mp4
57.32 MB
05. Predict House Prices with Multivariable Linear Regression/06. Visualising Data (Part 2) Seaborn and Probability Density Functions.srt
8.98 KB
05. Predict House Prices with Multivariable Linear Regression/07. Working with Index Data, Pandas Series, and Dummy Variables.mp4
140.76 MB
05. Predict House Prices with Multivariable Linear Regression/07. Working with Index Data, Pandas Series, and Dummy Variables.srt
20.72 KB
05. Predict House Prices with Multivariable Linear Regression/08. Understanding Descriptive Statistics the Mean vs the Median.mp4
62.18 MB
05. Predict House Prices with Multivariable Linear Regression/08. Understanding Descriptive Statistics the Mean vs the Median.srt
12.14 KB
05. Predict House Prices with Multivariable Linear Regression/09. Introduction to Correlation Understanding Strength & Direction.mp4
33.09 MB
05. Predict House Prices with Multivariable Linear Regression/09. Introduction to Correlation Understanding Strength & Direction.srt
8.4 KB
05. Predict House Prices with Multivariable Linear Regression/10. Calculating Correlations and the Problem posed by Multicollinearity.mp4
111.43 MB
05. Predict House Prices with Multivariable Linear Regression/10. Calculating Correlations and the Problem posed by Multicollinearity.srt
17.83 KB
05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4
168.65 MB
05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.srt
24.37 KB
05. Predict House Prices with Multivariable Linear Regression/12. Techniques to Style Scatter Plots.mp4
128.53 MB
05. Predict House Prices with Multivariable Linear Regression/12. Techniques to Style Scatter Plots.srt
20.56 KB
05. Predict House Prices with Multivariable Linear Regression/13. A Note for the Next Lesson.html
476 B
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4
214.4 MB
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.srt
28.7 KB
05. Predict House Prices with Multivariable Linear Regression/15. Understanding Multivariable Regression.mp4
48.8 MB
05. Predict House Prices with Multivariable Linear Regression/15. Understanding Multivariable Regression.srt
7.52 KB
05. Predict House Prices with Multivariable Linear Regression/16. How to Shuffle and Split Training & Testing Data.mp4
64.34 MB
05. Predict House Prices with Multivariable Linear Regression/16. How to Shuffle and Split Training & Testing Data.srt
11.55 KB
05. Predict House Prices with Multivariable Linear Regression/17. Running a Multivariable Regression.mp4
55.56 MB
05. Predict House Prices with Multivariable Linear Regression/17. Running a Multivariable Regression.srt
9.77 KB
05. Predict House Prices with Multivariable Linear Regression/18. How to Calculate the Model Fit with R-Squared.mp4
32.4 MB
05. Predict House Prices with Multivariable Linear Regression/18. How to Calculate the Model Fit with R-Squared.srt
4.42 KB
05. Predict House Prices with Multivariable Linear Regression/19. Introduction to Model Evaluation.mp4
15.99 MB
05. Predict House Prices with Multivariable Linear Regression/19. Introduction to Model Evaluation.srt
3.81 KB
05. Predict House Prices with Multivariable Linear Regression/20. Improving the Model by Transforming the Data.mp4
126.87 MB
05. Predict House Prices with Multivariable Linear Regression/20. Improving the Model by Transforming the Data.srt
21.61 KB
05. Predict House Prices with Multivariable Linear Regression/21. How to Interpret Coefficients using p-Values and Statistical Significance.mp4
65.41 MB
05. Predict House Prices with Multivariable Linear Regression/21. How to Interpret Coefficients using p-Values and Statistical Significance.srt
10.78 KB
05. Predict House Prices with Multivariable Linear Regression/22. Understanding VIF & Testing for Multicollinearity.mp4
143.82 MB
05. Predict House Prices with Multivariable Linear Regression/22. Understanding VIF & Testing for Multicollinearity.srt
25.62 KB
05. Predict House Prices with Multivariable Linear Regression/23. Model Simplification & Baysian Information Criterion.mp4
150.15 MB
05. Predict House Prices with Multivariable Linear Regression/23. Model Simplification & Baysian Information Criterion.srt
23.14 KB
05. Predict House Prices with Multivariable Linear Regression/24. How to Analyse and Plot Regression Residuals.mp4
64.18 MB
05. Predict House Prices with Multivariable Linear Regression/24. How to Analyse and Plot Regression Residuals.srt
14.76 KB
05. Predict House Prices with Multivariable Linear Regression/25. Residual Analysis (Part 1) Predicted vs Actual Values.mp4
124.42 MB
05. Predict House Prices with Multivariable Linear Regression/25. Residual Analysis (Part 1) Predicted vs Actual Values.srt
18.24 KB
05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4
153.01 MB
05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.srt
22.76 KB
05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4
152.68 MB
05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.srt
23.72 KB
05. Predict House Prices with Multivariable Linear Regression/28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.mp4
84.85 MB
05. Predict House Prices with Multivariable Linear Regression/28. Making Predictions (Part 2) Standard Deviation, RMSE, and Prediction Intervals.srt
14.76 KB
05. Predict House Prices with Multivariable Linear Regression/29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.mp4
131.31 MB
05. Predict House Prices with Multivariable Linear Regression/29. Build a Valuation Tool (Part 1) Working with Pandas Series & Numpy ndarrays.srt
20.82 KB
05. Predict House Prices with Multivariable Linear Regression/30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).mp4
134.38 MB
05. Predict House Prices with Multivariable Linear Regression/30. [Python] - Conditional Statements - Build a Valuation Tool (Part 2).srt
21.4 KB
05. Predict House Prices with Multivariable Linear Regression/31. Python Conditional Statement Coding Exercise.html
156 B
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4
244.17 MB
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.srt
28.42 KB
05. Predict House Prices with Multivariable Linear Regression/33. Download the Complete Notebook Here.html
242 B
05. Predict House Prices with Multivariable Linear Regression/33.1 04 Multivariable Regression.ipynb.zip
3.54 MB
05. Predict House Prices with Multivariable Linear Regression/33.2 04 Valuation Tool.ipynb.zip
2.93 KB
05. Predict House Prices with Multivariable Linear Regression/33.3 boston_valuation.py
3.05 KB
05. Predict House Prices with Multivariable Linear Regression/34. Any Feedback on this Section.html
512 B
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/01. How to Translate a Business Problem into a Machine Learning Problem.mp4
42.26 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/01. How to Translate a Business Problem into a Machine Learning Problem.srt
9.69 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/01.1 Course Resources.html
122 B
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/02. Gathering Email Data and Working with Archives & Text Editors.mp4
112.05 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/02. Gathering Email Data and Working with Archives & Text Editors.srt
14.13 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/02.1 SpamData.zip
21.29 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/03. How to Add the Lesson Resources to the Project.mp4
28.9 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/03. How to Add the Lesson Resources to the Project.srt
4.96 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/04. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.mp4
33.39 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/04. The Naive Bayes Algorithm and the Decision Boundary for a Classifier.srt
6.08 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/05. Basic Probability.mp4
28.55 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/05. Basic Probability.srt
5.26 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/06. Joint & Conditional Probability.mp4
141.82 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/06. Joint & Conditional Probability.srt
19.86 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/07. Bayes Theorem.mp4
83.6 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/07. Bayes Theorem.srt
15.16 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/08. Reading Files (Part 1) Absolute Paths and Relative Paths.mp4
60.9 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/08. Reading Files (Part 1) Absolute Paths and Relative Paths.srt
11.71 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/09. Reading Files (Part 2) Stream Objects and Email Structure.mp4
104.32 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/09. Reading Files (Part 2) Stream Objects and Email Structure.srt
14.57 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/10. Extracting the Text in the Email Body.mp4
47.43 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/10. Extracting the Text in the Email Body.srt
6 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/11. [Python] - Generator Functions & the yield Keyword.mp4
133.16 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/11. [Python] - Generator Functions & the yield Keyword.srt
22.32 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/12. Create a Pandas DataFrame of Email Bodies.mp4
48.66 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/12. Create a Pandas DataFrame of Email Bodies.srt
7.23 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.mp4
121.94 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/13. Cleaning Data (Part 1) Check for Empty Emails & Null Entries.srt
17.96 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/14. Cleaning Data (Part 2) Working with a DataFrame Index.mp4
61.83 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/14. Cleaning Data (Part 2) Working with a DataFrame Index.srt
9.23 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/15. Saving a JSON File with Pandas.mp4
56.35 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/15. Saving a JSON File with Pandas.srt
6.92 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/16. Data Visualisation (Part 1) Pie Charts.mp4
90.68 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/16. Data Visualisation (Part 1) Pie Charts.srt
16.19 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/17. Data Visualisation (Part 2) Donut Charts.mp4
61.78 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/17. Data Visualisation (Part 2) Donut Charts.srt
9.56 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/18. Introduction to Natural Language Processing (NLP).mp4
50.81 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/18. Introduction to Natural Language Processing (NLP).srt
8.19 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/19. Tokenizing, Removing Stop Words and the Python Set Data Structure.mp4
117.75 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/19. Tokenizing, Removing Stop Words and the Python Set Data Structure.srt
19.07 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/20. Word Stemming & Removing Punctuation.mp4
71.44 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/20. Word Stemming & Removing Punctuation.srt
10.56 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/21. Removing HTML tags with BeautifulSoup.mp4
95.82 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/21. Removing HTML tags with BeautifulSoup.srt
11.01 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/22. Creating a Function for Text Processing.mp4
53.91 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/22. Creating a Function for Text Processing.srt
8.41 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/23. A Note for the Next Lesson.html
476 B
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/24. Advanced Subsetting on DataFrames the apply() Function.mp4
83.39 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/24. Advanced Subsetting on DataFrames the apply() Function.srt
13.53 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/25. [Python] - Logical Operators to Create Subsets and Indices.mp4
86.41 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/25. [Python] - Logical Operators to Create Subsets and Indices.srt
15.5 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/26. Word Clouds & How to install Additional Python Packages.mp4
79.48 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/26. Word Clouds & How to install Additional Python Packages.srt
11.97 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/27. Creating your First Word Cloud.mp4
98.44 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/27. Creating your First Word Cloud.srt
13.67 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/28. Styling the Word Cloud with a Mask.mp4
131.37 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/28. Styling the Word Cloud with a Mask.srt
16.72 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/29. Solving the Hamlet Challenge.mp4
57.1 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/29. Solving the Hamlet Challenge.srt
5.99 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/30. Styling Word Clouds with Custom Fonts.mp4
127.29 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/30. Styling Word Clouds with Custom Fonts.srt
14.79 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/31. Create the Vocabulary for the Spam Classifier.mp4
106.96 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/31. Create the Vocabulary for the Spam Classifier.srt
17.79 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/32. Coding Challenge Check for Membership in a Collection.mp4
32.34 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/32. Coding Challenge Check for Membership in a Collection.srt
6.08 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/33. Coding Challenge Find the Longest Email.mp4
54.47 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/33. Coding Challenge Find the Longest Email.srt
7.54 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/34. Sparse Matrix (Part 1) Split the Training and Testing Data.mp4
87.62 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/34. Sparse Matrix (Part 1) Split the Training and Testing Data.srt
15.26 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/35. Sparse Matrix (Part 2) Data Munging with Nested Loops.mp4
137.23 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/35. Sparse Matrix (Part 2) Data Munging with Nested Loops.srt
22.34 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/36. Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.mp4
80.5 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/36. Sparse Matrix (Part 3) Using groupby() and Saving .txt Files.srt
12.18 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/37. Coding Challenge Solution Preparing the Test Data.mp4
28.92 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/37. Coding Challenge Solution Preparing the Test Data.srt
4.5 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/38. Checkpoint Understanding the Data.mp4
96.37 MB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/38. Checkpoint Understanding the Data.srt
13.65 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/39. Download the Complete Notebook Here.html
242 B
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/39.1 06 Bayes Classifier - Pre-Processing.ipynb.zip
978.02 KB
06. Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails Part 1/40. Any Feedback on this Section.html
519 B
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/01. Setting up the Notebook and Understanding Delimiters in a Dataset.mp4
72.5 MB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/01. Setting up the Notebook and Understanding Delimiters in a Dataset.srt
11.17 KB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/01.1 Course Resources.html
122 B
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/01.2 SpamData.zip
22.32 MB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/02. Create a Full Matrix.mp4
132.24 MB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/02. Create a Full Matrix.srt
21.72 KB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/03. Count the Tokens to Train the Naive Bayes Model.mp4
96.18 MB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/03. Count the Tokens to Train the Naive Bayes Model.srt
18.35 KB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/04. Sum the Tokens across the Spam and Ham Subsets.mp4
46.71 MB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/04. Sum the Tokens across the Spam and Ham Subsets.srt
7.76 KB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/05. Calculate the Token Probabilities and Save the Trained Model.mp4
53.45 MB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/05. Calculate the Token Probabilities and Save the Trained Model.srt
9.44 KB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/06. Coding Challenge Prepare the Test Data.mp4
35.6 MB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/06. Coding Challenge Prepare the Test Data.srt
5.14 KB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/07. Download the Complete Notebook Here.html
242 B
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/07.1 07 Bayes Classifier - Training.ipynb.zip
5.82 KB
07. Train a Naive Bayes Classifier to Create a Spam Filter Part 2/08. Any Feedback on this Section.html
527 B
08. Test and Evaluate a Naive Bayes Classifier Part 3/01. Set up the Testing Notebook.mp4
26.45 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/01. Set up the Testing Notebook.srt
3.82 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/01.1 SpamData.zip
22.83 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/01.2 Course Resources.html
122 B
08. Test and Evaluate a Naive Bayes Classifier Part 3/02. Joint Conditional Probability (Part 1) Dot Product.mp4
66.4 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/02. Joint Conditional Probability (Part 1) Dot Product.srt
12.72 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/03. Joint Conditional Probablity (Part 2) Priors.mp4
63.98 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/03. Joint Conditional Probablity (Part 2) Priors.srt
10.54 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/04. Making Predictions Comparing Joint Probabilities.mp4
52.34 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/04. Making Predictions Comparing Joint Probabilities.srt
9.67 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/05. The Accuracy Metric.mp4
40.54 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/05. The Accuracy Metric.srt
7.65 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.mp4
205.31 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/06. Visualising the Decision Boundary.srt
33.44 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/07. False Positive vs False Negatives.mp4
63.25 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/07. False Positive vs False Negatives.srt
12.81 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/08. The Recall Metric.mp4
28.15 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/08. The Recall Metric.srt
6.54 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/09. The Precision Metric.mp4
53.33 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/09. The Precision Metric.srt
9.5 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/10. The F-score or F1 Metric.mp4
24.71 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/10. The F-score or F1 Metric.srt
4.48 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4
195.1 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.srt
33.68 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/12. Download the Complete Notebook Here.html
242 B
08. Test and Evaluate a Naive Bayes Classifier Part 3/12.1 08 Naive Bayes with scikit-learn.ipynb.zip
13.26 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/12.2 07 Bayes Classifier - Testing, Inference & Evaluation.ipynb.zip
243.05 KB
08. Test and Evaluate a Naive Bayes Classifier Part 3/13. Any Feedback on this Section.html
509 B
08. Test and Evaluate a Naive Bayes Classifier Part 3/GetFreeCourses.Co.url
116 B
08. Test and Evaluate a Naive Bayes Classifier Part 3/How you can help GetFreeCourses.Co.txt
182 B
09. Introduction to Neural Networks and How to Use Pre-Trained Models/01. The Human Brain and the Inspiration for Artificial Neural Networks.mp4
51.81 MB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/01. The Human Brain and the Inspiration for Artificial Neural Networks.srt
10.88 KB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/01.1 Course Resources.html
122 B
09. Introduction to Neural Networks and How to Use Pre-Trained Models/02. Layers, Feature Generation and Learning.mp4
146.7 MB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/02. Layers, Feature Generation and Learning.srt
27.79 KB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/03. Costs and Disadvantages of Neural Networks.mp4
91.98 MB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/03. Costs and Disadvantages of Neural Networks.srt
19.24 KB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/04. Preprocessing Image Data and How RGB Works.mp4
93.6 MB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/04. Preprocessing Image Data and How RGB Works.srt
16.15 KB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/04.1 TF_Keras_Classification_Images.zip
501.1 KB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/05. Importing Keras Models and the Tensorflow Graph.mp4
65.47 MB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/05. Importing Keras Models and the Tensorflow Graph.srt
11.44 KB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/06. Making Predictions using InceptionResNet.mp4
134.58 MB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/06. Making Predictions using InceptionResNet.srt
18.9 KB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/07. Coding Challenge Solution Using other Keras Models.mp4
103.53 MB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/07. Coding Challenge Solution Using other Keras Models.srt
12.94 KB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/08. Download the Complete Notebook Here.html
264 B
09. Introduction to Neural Networks and How to Use Pre-Trained Models/08.1 09 Neural Nets Pretrained Image Classification.ipynb.zip
571.83 KB
09. Introduction to Neural Networks and How to Use Pre-Trained Models/09. Any Feedback on this Section.html
526 B
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/01. Solving a Business Problem with Image Classification.mp4
30.53 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/01. Solving a Business Problem with Image Classification.srt
4.97 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/01.1 Course Resources.html
122 B
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/02. Installing Tensorflow and Keras for Jupyter.mp4
42.1 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/02. Installing Tensorflow and Keras for Jupyter.srt
6.42 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/03. Gathering the CIFAR 10 Dataset.mp4
31.37 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/03. Gathering the CIFAR 10 Dataset.srt
6.1 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/04. Exploring the CIFAR Data.mp4
110.31 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/04. Exploring the CIFAR Data.srt
18.23 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/05. Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4
93.16 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/05. Pre-processing Scaling Inputs and Creating a Validation Dataset.srt
19.92 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/06. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4
103.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/06. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.srt
18.63 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/07. Interacting with the Operating System and the Python Try-Catch Block.mp4
133.41 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/07. Interacting with the Operating System and the Python Try-Catch Block.srt
23.69 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/08. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4
100.42 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/08. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.srt
14.1 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4
191.54 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.srt
28.28 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4
218.25 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.srt
32.97 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/11. Model Evaluation and the Confusion Matrix.mp4
62.76 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/11. Model Evaluation and the Confusion Matrix.srt
10.8 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4
251.83 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.srt
40.5 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13. Download the Complete Notebook Here.html
242 B
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/13.1 10 Neural Nets - Keras CIFAR10 Classification.ipynb.zip
120.11 KB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/14. Any Feedback on this Section.html
521 B
11. Use Tensorflow to Classify Handwritten Digits/01. What's coming up.mp4
7.1 MB
11. Use Tensorflow to Classify Handwritten Digits/01. What's coming up.srt
2.49 KB
11. Use Tensorflow to Classify Handwritten Digits/01.1 Course Resources.html
122 B
11. Use Tensorflow to Classify Handwritten Digits/02. Getting the Data and Loading it into Numpy Arrays.mp4
52.82 MB
11. Use Tensorflow to Classify Handwritten Digits/02. Getting the Data and Loading it into Numpy Arrays.srt
9.01 KB
11. Use Tensorflow to Classify Handwritten Digits/02.1 MNIST.zip
14.77 MB
11. Use Tensorflow to Classify Handwritten Digits/03. Data Exploration and Understanding the Structure of the Input Data.mp4
32.41 MB
11. Use Tensorflow to Classify Handwritten Digits/03. Data Exploration and Understanding the Structure of the Input Data.srt
6.49 KB
11. Use Tensorflow to Classify Handwritten Digits/04. Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.mp4
70.19 MB
11. Use Tensorflow to Classify Handwritten Digits/04. Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.srt
12.67 KB
11. Use Tensorflow to Classify Handwritten Digits/05. What is a Tensor.mp4
45.39 MB
11. Use Tensorflow to Classify Handwritten Digits/05. What is a Tensor.srt
8.99 KB
11. Use Tensorflow to Classify Handwritten Digits/06. Creating Tensors and Setting up the Neural Network Architecture.mp4
150.86 MB
11. Use Tensorflow to Classify Handwritten Digits/06. Creating Tensors and Setting up the Neural Network Architecture.srt
29.05 KB
11. Use Tensorflow to Classify Handwritten Digits/07. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4
75.11 MB
11. Use Tensorflow to Classify Handwritten Digits/07. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.srt
14.15 KB
11. Use Tensorflow to Classify Handwritten Digits/08. TensorFlow Sessions and Batching Data.mp4
100.32 MB
11. Use Tensorflow to Classify Handwritten Digits/08. TensorFlow Sessions and Batching Data.srt
20.5 KB
11. Use Tensorflow to Classify Handwritten Digits/09. Tensorboard Summaries and the Filewriter.mp4
128.29 MB
11. Use Tensorflow to Classify Handwritten Digits/09. Tensorboard Summaries and the Filewriter.srt
23.21 KB
11. Use Tensorflow to Classify Handwritten Digits/10. Understanding the Tensorflow Graph Nodes and Edges.mp4
115.75 MB
11. Use Tensorflow to Classify Handwritten Digits/10. Understanding the Tensorflow Graph Nodes and Edges.srt
21.25 KB
11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4
155.37 MB
11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.srt
26.26 KB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4
213.67 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.srt
30.11 KB
11. Use Tensorflow to Classify Handwritten Digits/13. Prediction and Model Evaluation.mp4
110.72 MB
11. Use Tensorflow to Classify Handwritten Digits/13. Prediction and Model Evaluation.srt
18.9 KB
11. Use Tensorflow to Classify Handwritten Digits/14. Download the Complete Notebook Here.html
242 B
11. Use Tensorflow to Classify Handwritten Digits/14.1 11 Neural Networks - TF Handwriting Recognition.ipynb.zip
6.6 KB
11. Use Tensorflow to Classify Handwritten Digits/15. Any Feedback on this Section.html
499 B
12. Serving a Tensorflow Model through a Website/01. What you'll make.mp4
38.44 MB
12. Serving a Tensorflow Model through a Website/01. What you'll make.srt
9.76 KB
12. Serving a Tensorflow Model through a Website/02. Saving Tensorflow Models.mp4
109.98 MB
12. Serving a Tensorflow Model through a Website/02. Saving Tensorflow Models.srt
21.26 KB
12. Serving a Tensorflow Model through a Website/02.1 11 Neural Networks - TF Handwriting Recognition.ipynb.zip
6.39 KB
12. Serving a Tensorflow Model through a Website/03. Loading a SavedModel.mp4
103.93 MB
12. Serving a Tensorflow Model through a Website/03. Loading a SavedModel.srt
26.16 KB
12. Serving a Tensorflow Model through a Website/03.1 MNIST_Model_Load_Files.zip
2.84 MB
12. Serving a Tensorflow Model through a Website/03.2 12 TF SavedModel Export Completed.ipynb.zip
6.13 KB
12. Serving a Tensorflow Model through a Website/04. Converting a Model to Tensorflow.js.mp4
132.49 MB
12. Serving a Tensorflow Model through a Website/04. Converting a Model to Tensorflow.js.srt
21.13 KB
12. Serving a Tensorflow Model through a Website/04.1 TFJS.zip
1.54 MB
12. Serving a Tensorflow Model through a Website/05. Introducing the Website Project and Tooling.mp4
78.04 MB
12. Serving a Tensorflow Model through a Website/05. Introducing the Website Project and Tooling.srt
17.19 KB
12. Serving a Tensorflow Model through a Website/05.1 math_garden_stub.zip
44.03 KB
12. Serving a Tensorflow Model through a Website/06. HTML and CSS Styling.mp4
150.23 MB
12. Serving a Tensorflow Model through a Website/06. HTML and CSS Styling.srt
37.89 KB
12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4
188.04 MB
12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.srt
37.18 KB
12. Serving a Tensorflow Model through a Website/07.1 x_test2_ylabel1.txt
4.59 KB
12. Serving a Tensorflow Model through a Website/07.2 x_test0_ylabel7.txt
4.59 KB
12. Serving a Tensorflow Model through a Website/07.3 x_test1_ylabel2.txt
4.59 KB
12. Serving a Tensorflow Model through a Website/08. Adding a Favicon.mp4
41.51 MB
12. Serving a Tensorflow Model through a Website/08. Adding a Favicon.srt
7.39 KB
12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4
187.37 MB
12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.srt
39.42 KB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4
171.97 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.srt
37.83 KB
12. Serving a Tensorflow Model through a Website/11. Data Pre-Processing for Tensorflow.js.mp4
61.89 MB
12. Serving a Tensorflow Model through a Website/11. Data Pre-Processing for Tensorflow.js.srt
11.92 KB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4
235.33 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.srt
38.37 KB
12. Serving a Tensorflow Model through a Website/12.1 math_garden_stub 12.12 checkpoint.zip
4.09 MB
12. Serving a Tensorflow Model through a Website/13. Resizing and Adding Padding to Images.mp4
157.5 MB
12. Serving a Tensorflow Model through a Website/13. Resizing and Adding Padding to Images.srt
26.86 KB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4
223.26 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.srt
35.49 KB
12. Serving a Tensorflow Model through a Website/15. Making a Prediction from a Digit drawn on the HTML Canvas.mp4
104.41 MB
12. Serving a Tensorflow Model through a Website/15. Making a Prediction from a Digit drawn on the HTML Canvas.srt
17.04 KB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4
172.83 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.srt
38.09 KB
12. Serving a Tensorflow Model through a Website/16.1 math_garden_stub complete.zip
4.09 MB
12. Serving a Tensorflow Model through a Website/17. Publish and Share your Website!.mp4
38.75 MB
12. Serving a Tensorflow Model through a Website/17. Publish and Share your Website!.srt
9.51 KB
12. Serving a Tensorflow Model through a Website/18. Any Feedback on this Section.html
500 B
12. Serving a Tensorflow Model through a Website/GetFreeCourses.Co.url
116 B
12. Serving a Tensorflow Model through a Website/How you can help GetFreeCourses.Co.txt
182 B
13. Next Steps/01. Where next.html
3.93 KB
13. Next Steps/02. What Modules Do You Want to See.html