[DesireCourse.Net] Udemy - Complete Data Science Training with Python for Data Analysis
大小
2.25 GB
文件数
249
Info Hash:
6BA6895D7D716420F653594B54E1E102E8CA79AC
收录时间
2025-12-24 04:32:28
更新时间
2025-12-24 04:32:28
文件列表 (249)
1. Introduction to the Data Science in Python Bootcamp/1. What is Data Science.mp4
17.39 MB
1. Introduction to the Data Science in Python Bootcamp/1. What is Data Science.vtt
3.97 KB
1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course Instructor.m4v
55.61 MB
1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course Instructor.vtt
13.5 KB
1. Introduction to the Data Science in Python Bootcamp/3. Data For the Course.html
98 B
1. Introduction to the Data Science in Python Bootcamp/3.1 scriptsLecture.zip.zip
308.04 MB
1. Introduction to the Data Science in Python Bootcamp/4. Introduction to the Python Data Science Tool.mp4
25.02 MB
1. Introduction to the Data Science in Python Bootcamp/4. Introduction to the Python Data Science Tool.vtt
10.12 KB
1. Introduction to the Data Science in Python Bootcamp/5. For Mac Users.mp4
10.22 MB
1. Introduction to the Data Science in Python Bootcamp/5. For Mac Users.vtt
3.88 KB
1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.mp4
40.32 MB
1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.vtt
17.22 KB
1. Introduction to the Data Science in Python Bootcamp/7. Some Miscellaneous IPython Usage Facts.mp4
12.01 MB
1. Introduction to the Data Science in Python Bootcamp/7. Some Miscellaneous IPython Usage Facts.vtt
4.54 KB
1. Introduction to the Data Science in Python Bootcamp/8. Online iPython Interpreter.mp4
7.73 MB
1. Introduction to the Data Science in Python Bootcamp/8. Online iPython Interpreter.vtt
3.43 KB
1. Introduction to the Data Science in Python Bootcamp/9. Conclusion to Section 1.mp4
6.48 MB
1. Introduction to the Data Science in Python Bootcamp/9. Conclusion to Section 1.vtt
3.06 KB
10. Unsupervised Learning in Python/1. Unsupervised Classification- Some Basic Ideas.mp4
6.17 MB
10. Unsupervised Learning in Python/1. Unsupervised Classification- Some Basic Ideas.vtt
1.81 KB
10. Unsupervised Learning in Python/10. Principal Component Analysis (PCA)-Practical Implementation.mp4
9.06 MB
10. Unsupervised Learning in Python/10. Principal Component Analysis (PCA)-Practical Implementation.vtt
4.15 KB
10. Unsupervised Learning in Python/11. Conclusions to Section 10.mp4
5.49 MB
10. Unsupervised Learning in Python/11. Conclusions to Section 10.vtt
2.48 KB
10. Unsupervised Learning in Python/2. KMeans-theory.mp4
5.15 MB
10. Unsupervised Learning in Python/2. KMeans-theory.vtt
2.5 KB
10. Unsupervised Learning in Python/3. KMeans-implementation on the iris data.mp4
19.54 MB
10. Unsupervised Learning in Python/3. KMeans-implementation on the iris data.vtt
7.61 KB
10. Unsupervised Learning in Python/4. Quantifying KMeans Clustering Performance.mp4
9.57 MB
10. Unsupervised Learning in Python/4. Quantifying KMeans Clustering Performance.vtt
4.41 KB
10. Unsupervised Learning in Python/5. KMeans Clustering with Real Data.mp4
12.08 MB
10. Unsupervised Learning in Python/5. KMeans Clustering with Real Data.vtt
4.49 KB
10. Unsupervised Learning in Python/6. How Do We Select the Number of Clusters.mp4
19.04 MB
10. Unsupervised Learning in Python/6. How Do We Select the Number of Clusters.vtt
4.21 KB
10. Unsupervised Learning in Python/7. Hierarchical Clustering-theory.mp4
10.23 MB
10. Unsupervised Learning in Python/7. Hierarchical Clustering-theory.vtt
5 KB
10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.mp4
29.39 MB
10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.vtt
9.53 KB
10. Unsupervised Learning in Python/9. Principal Component Analysis (PCA)-Theory.mp4
5.91 MB
10. Unsupervised Learning in Python/9. Principal Component Analysis (PCA)-Theory.vtt
2.96 KB
11. Supervised Learning/1. What is This Section About.mp4
24.88 MB
11. Supervised Learning/1. What is This Section About.vtt
11.5 KB
11. Supervised Learning/10. knn-Classification.mp4
18.2 MB
11. Supervised Learning/10. knn-Classification.vtt
8 KB
11. Supervised Learning/11. knn-Regression.mp4
8.38 MB
11. Supervised Learning/11. knn-Regression.vtt
3.95 KB
11. Supervised Learning/12. Gradient Boosting-classification.mp4
15.04 MB
11. Supervised Learning/12. Gradient Boosting-classification.vtt
6.04 KB
11. Supervised Learning/13. Gradient Boosting-regression.mp4
10.9 MB
11. Supervised Learning/13. Gradient Boosting-regression.vtt
3.67 KB
11. Supervised Learning/14. Voting Classifier.mp4
9.53 MB
11. Supervised Learning/14. Voting Classifier.vtt
3.76 KB
11. Supervised Learning/15. Conclusions to Section 11.mp4
7.23 MB
11. Supervised Learning/15. Conclusions to Section 11.vtt
2.94 KB
11. Supervised Learning/16. Section 11 Quiz.html
163 B
11. Supervised Learning/2. Data Preparation for Supervised Learning.mp4
28.28 MB
11. Supervised Learning/2. Data Preparation for Supervised Learning.vtt
10.08 KB
11. Supervised Learning/3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.mp4
24 MB
11. Supervised Learning/3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.vtt
10.46 KB
11. Supervised Learning/4. Using Logistic Regression as a Classification Model.mp4
20.64 MB
11. Supervised Learning/4. Using Logistic Regression as a Classification Model.vtt
8.73 KB
11. Supervised Learning/5. RF-Classification.mp4
28.48 MB
11. Supervised Learning/5. RF-Classification.vtt
12.19 KB
11. Supervised Learning/6. RF-Regression.mp4
23.63 MB
11. Supervised Learning/6. RF-Regression.vtt
9.73 KB
11. Supervised Learning/7. SVM- Linear Classification.mp4
7.39 MB
11. Supervised Learning/7. SVM- Linear Classification.vtt
3.22 KB
11. Supervised Learning/8. SVM- Non Linear Classification.mp4
5.12 MB
11. Supervised Learning/8. SVM- Non Linear Classification.vtt
2.31 KB
11. Supervised Learning/9. Support Vector Regression.mp4
10.19 MB
11. Supervised Learning/9. Support Vector Regression.vtt
4.33 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/1. Theory Behind ANN and DNN.mp4
22.56 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/1. Theory Behind ANN and DNN.vtt
9.91 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/10. Specify the Activation Function.mp4
6.21 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/10. Specify the Activation Function.vtt
2.18 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/11. H2O Deep Learning For Predictions.mp4
12 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/11. H2O Deep Learning For Predictions.vtt
5.19 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/12. Conclusions to Section 12.mp4
5.16 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/12. Conclusions to Section 12.vtt
2.12 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/13. Section 12 Quiz.html
163 B
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/2. Perceptrons for Binary Classification.mp4
10.05 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/2. Perceptrons for Binary Classification.vtt
4.68 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/3. Getting Started with ANN-binary classification.mp4
8.46 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/3. Getting Started with ANN-binary classification.vtt
3.48 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/4. Multi-label classification with MLP.mp4
13.49 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/4. Multi-label classification with MLP.vtt
4.77 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/5. Regression with MLP.mp4
9.02 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/5. Regression with MLP.vtt
3.49 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/6. MLP with PCA on a Large Dataset.mp4
19.25 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/6. MLP with PCA on a Large Dataset.vtt
7.65 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/7. Start With Deep Neural Network (DNN).html
229 B
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/8. Start with H20.mp4
12.12 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/8. Start with H20.vtt
4.31 KB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/9. Default H2O Deep Learning Algorithm.mp4
8.23 MB
12. Artificial Neural Networks (ANN) and Deep Learning (DL)/9. Default H2O Deep Learning Algorithm.vtt
3.36 KB
13. Miscellaneous Lectures Information/1. Data For This Section.html
137 B
13. Miscellaneous Lectures Information/2. Read in Data from Online CSV.mp4
6.66 MB
13. Miscellaneous Lectures Information/2. Read in Data from Online CSV.vtt
3.87 KB
13. Miscellaneous Lectures Information/3. Read Data from a Database.mp4
12.26 MB
13. Miscellaneous Lectures Information/3. Read Data from a Database.vtt
7.79 KB
13. Miscellaneous Lectures Information/4. Naive Bayes Classification.m4v
28.16 MB
13. Miscellaneous Lectures Information/4. Naive Bayes Classification.vtt
6.84 KB
13. Miscellaneous Lectures Information/5. Data Imputation.m4v
44.84 MB
13. Miscellaneous Lectures Information/5. Data Imputation.vtt
8.99 KB
2. Introduction to Python Pre-Requisites for Data Science/1. Rationale Behind This Section.html
429 B
2. Introduction to Python Pre-Requisites for Data Science/2. Different Types of Data Used in Statistical ML Analysis.mp4
9.36 MB
2. Introduction to Python Pre-Requisites for Data Science/2. Different Types of Data Used in Statistical ML Analysis.vtt
3.66 KB
2. Introduction to Python Pre-Requisites for Data Science/3. Different Types of Data Used Programatically.mp4
7.74 MB
2. Introduction to Python Pre-Requisites for Data Science/3. Different Types of Data Used Programatically.vtt
3.01 KB
2. Introduction to Python Pre-Requisites for Data Science/4. Python Data Science Packages To Be Used.mp4
7.93 MB
2. Introduction to Python Pre-Requisites for Data Science/4. Python Data Science Packages To Be Used.vtt
3.8 KB
2. Introduction to Python Pre-Requisites for Data Science/5. Conclusions to Section 2.mp4
4.88 MB
2. Introduction to Python Pre-Requisites for Data Science/5. Conclusions to Section 2.vtt
2.43 KB
3. Introduction to Numpy/1. Numpy Introduction.mp4
8.7 MB
3. Introduction to Numpy/1. Numpy Introduction.vtt
3.84 KB
3. Introduction to Numpy/10. Conclusion to Section 3.mp4
6.17 MB
3. Introduction to Numpy/10. Conclusion to Section 3.vtt
2.55 KB
3. Introduction to Numpy/11. Section 3 Quiz.html
163 B
3. Introduction to Numpy/2. Create Numpy Arrays.mp4
20.91 MB
3. Introduction to Numpy/2. Create Numpy Arrays.vtt
5.92 KB
3. Introduction to Numpy/3. Numpy Operations.mp4
36.71 MB
3. Introduction to Numpy/3. Numpy Operations.vtt
14.96 KB
3. Introduction to Numpy/4. Matrix Arithmetic and Linear Systems.mp4
15.83 MB
3. Introduction to Numpy/4. Matrix Arithmetic and Linear Systems.vtt
6.47 KB
3. Introduction to Numpy/5. Numpy for Basic Vector Arithmetric.mp4
11.75 MB
3. Introduction to Numpy/5. Numpy for Basic Vector Arithmetric.vtt
3.79 KB
3. Introduction to Numpy/6. Numpy for Basic Matrix Arithmetic.mp4
13.89 MB
3. Introduction to Numpy/6. Numpy for Basic Matrix Arithmetic.vtt
5.16 KB
3. Introduction to Numpy/7. Broadcasting with Numpy.mp4
8.95 MB
3. Introduction to Numpy/7. Broadcasting with Numpy.vtt
3.79 KB
3. Introduction to Numpy/8. Solve Equations with Numpy.mp4
11.44 MB
3. Introduction to Numpy/8. Solve Equations with Numpy.vtt
4.19 KB
3. Introduction to Numpy/9. Numpy for Statistical Operation.mp4
14.95 MB
3. Introduction to Numpy/9. Numpy for Statistical Operation.vtt
6.75 KB
4. Introduction to Pandas/1. Data Structures in Python.mp4
25.07 MB
4. Introduction to Pandas/1. Data Structures in Python.vtt
10.04 KB
4. Introduction to Pandas/2. Read in Data.html
246 B
4. Introduction to Pandas/3. Read in CSV Data Using Pandas.mp4
15.32 MB
4. Introduction to Pandas/3. Read in CSV Data Using Pandas.vtt
5.79 KB
4. Introduction to Pandas/4. Read in Excel Data Using Pandas.mp4
11.38 MB
4. Introduction to Pandas/4. Read in Excel Data Using Pandas.vtt
3.78 KB
4. Introduction to Pandas/5. Reading in JSON Data.mp4
18.72 MB
4. Introduction to Pandas/5. Reading in JSON Data.vtt
3.06 KB
4. Introduction to Pandas/6. Read in HTML Data.mp4
51.31 MB
4. Introduction to Pandas/6. Read in HTML Data.vtt
11.14 KB
4. Introduction to Pandas/7. Conclusion to Section 4.mp4
5.4 MB
4. Introduction to Pandas/7. Conclusion to Section 4.vtt
2.24 KB
5. Data Pre-ProcessingWrangling/1. Rationale behind this section.mp4
8.11 MB
5. Data Pre-ProcessingWrangling/1. Rationale behind this section.vtt
4.59 KB
5. Data Pre-ProcessingWrangling/10. Rank and Sort Data.mp4
24.32 MB
5. Data Pre-ProcessingWrangling/10. Rank and Sort Data.vtt
7.3 KB
5. Data Pre-ProcessingWrangling/11. Concatenate.mp4
23.74 MB
5. Data Pre-ProcessingWrangling/11. Concatenate.vtt
8 KB
5. Data Pre-ProcessingWrangling/12. Merging and Joining Data Frames.mp4
28.8 MB
5. Data Pre-ProcessingWrangling/12. Merging and Joining Data Frames.vtt
10.66 KB
5. Data Pre-ProcessingWrangling/13. Conclusion to Section 5.mp4
5.39 MB
5. Data Pre-ProcessingWrangling/13. Conclusion to Section 5.vtt
2.21 KB
5. Data Pre-ProcessingWrangling/2. Removing NAsNo Values From Our Data.mp4
19.29 MB
5. Data Pre-ProcessingWrangling/2. Removing NAsNo Values From Our Data.vtt
6.38 KB
5. Data Pre-ProcessingWrangling/3. Basic Data Handling Starting with Conditional Data Selection.mp4
14.85 MB
5. Data Pre-ProcessingWrangling/3. Basic Data Handling Starting with Conditional Data Selection.vtt
4.08 KB
5. Data Pre-ProcessingWrangling/4. Drop ColumnRow.mp4
15.7 MB
5. Data Pre-ProcessingWrangling/4. Drop ColumnRow.vtt
4.39 KB
5. Data Pre-ProcessingWrangling/5. Subset and Index Data.mp4
28 MB
5. Data Pre-ProcessingWrangling/5. Subset and Index Data.vtt
7.77 KB
5. Data Pre-ProcessingWrangling/6. Basic Data Grouping Based on Qualitative Attributes.mp4
26.62 MB
5. Data Pre-ProcessingWrangling/6. Basic Data Grouping Based on Qualitative Attributes.vtt
8.31 KB
5. Data Pre-ProcessingWrangling/7. Crosstabulation.mp4
10.88 MB
5. Data Pre-ProcessingWrangling/7. Crosstabulation.vtt
3.85 KB
5. Data Pre-ProcessingWrangling/8. Reshaping.mp4
24.27 MB
5. Data Pre-ProcessingWrangling/8. Reshaping.vtt
9.59 KB
5. Data Pre-ProcessingWrangling/9. Pivoting.mp4
24.04 MB
5. Data Pre-ProcessingWrangling/9. Pivoting.vtt
8.41 KB
6. Introduction to Data Visualizations/1. What is Data Visualization.mp4
20.72 MB
6. Introduction to Data Visualizations/1. What is Data Visualization.vtt
9.8 KB
6. Introduction to Data Visualizations/2. Some Theoretical Principles Behind Data Visualization.mp4
16.56 MB
6. Introduction to Data Visualizations/2. Some Theoretical Principles Behind Data Visualization.vtt
7.14 KB
6. Introduction to Data Visualizations/3. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4
29.41 MB
6. Introduction to Data Visualizations/3. Histograms-Visualize the Distribution of Continuous Numerical Variables.vtt
11.93 KB
6. Introduction to Data Visualizations/4. Boxplots-Visualize the Distribution of Continuous Numerical Variables.mp4
13.44 MB
6. Introduction to Data Visualizations/4. Boxplots-Visualize the Distribution of Continuous Numerical Variables.vtt
5.48 KB
6. Introduction to Data Visualizations/5. Scatter Plot-Visualize the Relationship Between 2 Continuous Variables.mp4
29.82 MB
6. Introduction to Data Visualizations/5. Scatter Plot-Visualize the Relationship Between 2 Continuous Variables.vtt
12.17 KB
6. Introduction to Data Visualizations/6. Barplot.mp4
53.81 MB
6. Introduction to Data Visualizations/6. Barplot.vtt
22.32 KB
6. Introduction to Data Visualizations/7. Pie Chart.mp4
12.8 MB
6. Introduction to Data Visualizations/7. Pie Chart.vtt
5.59 KB
6. Introduction to Data Visualizations/8. Line Chart.mp4
37.09 MB
6. Introduction to Data Visualizations/8. Line Chart.vtt
12.05 KB
6. Introduction to Data Visualizations/9. Conclusions to Section 6.mp4
5.83 MB
6. Introduction to Data Visualizations/9. Conclusions to Section 6.vtt
2.24 KB
7. Statistical Data Analysis-Basic/1. What is Statistical Data Analysis.mp4
25.29 MB
7. Statistical Data Analysis-Basic/1. What is Statistical Data Analysis.vtt
9.55 KB
7. Statistical Data Analysis-Basic/10. Standard Normal Distribution and Z-scores.mp4
9.81 MB
7. Statistical Data Analysis-Basic/10. Standard Normal Distribution and Z-scores.vtt
4.19 KB
7. Statistical Data Analysis-Basic/11. Confidence Interval-Theory.mp4
13.72 MB
7. Statistical Data Analysis-Basic/11. Confidence Interval-Theory.vtt
5.86 KB
7. Statistical Data Analysis-Basic/12. Confidence Interval-Calculation.mp4
13.65 MB
7. Statistical Data Analysis-Basic/12. Confidence Interval-Calculation.vtt
5.76 KB
7. Statistical Data Analysis-Basic/13. Conclusions to Section 7.mp4
3.82 MB
7. Statistical Data Analysis-Basic/13. Conclusions to Section 7.vtt
1.56 KB
7. Statistical Data Analysis-Basic/2. Some Pointers on Collecting Data for Statistical Studies.mp4
20.9 MB
7. Statistical Data Analysis-Basic/2. Some Pointers on Collecting Data for Statistical Studies.vtt
9.06 KB
7. Statistical Data Analysis-Basic/3. Some Pointers on Exploring Quantitative Data.html
517 B
7. Statistical Data Analysis-Basic/4. Explore the Quantitative Data Descriptive Statistics.mp4
17.39 MB
7. Statistical Data Analysis-Basic/4. Explore the Quantitative Data Descriptive Statistics.vtt
7.64 KB
7. Statistical Data Analysis-Basic/5. Grouping Summarizing Data by Categories.mp4
33.05 MB
7. Statistical Data Analysis-Basic/5. Grouping Summarizing Data by Categories.vtt
10.28 KB
7. Statistical Data Analysis-Basic/6. Visualize Descriptive Statistics-Boxplots.mp4
11.5 MB
7. Statistical Data Analysis-Basic/6. Visualize Descriptive Statistics-Boxplots.vtt
5.23 KB
7. Statistical Data Analysis-Basic/7. Common Terms Relating to Descriptive Statistics.mp4
11.6 MB
7. Statistical Data Analysis-Basic/7. Common Terms Relating to Descriptive Statistics.vtt
5.55 KB
7. Statistical Data Analysis-Basic/8. Data Distribution- Normal Distribution.mp4
9.6 MB
7. Statistical Data Analysis-Basic/8. Data Distribution- Normal Distribution.vtt
3.89 KB
7. Statistical Data Analysis-Basic/9. Check for Normal Distribution.mp4
16.47 MB
7. Statistical Data Analysis-Basic/9. Check for Normal Distribution.vtt
5.63 KB
8. Statistical Inference Relationship Between Variables/1. What is Hypothesis Testing.mp4
13.41 MB
8. Statistical Inference Relationship Between Variables/1. What is Hypothesis Testing.vtt
5.83 KB
8. Statistical Inference Relationship Between Variables/10. Polynomial Regression.mp4
9.23 MB
8. Statistical Inference Relationship Between Variables/10. Polynomial Regression.vtt
3.74 KB
8. Statistical Inference Relationship Between Variables/11. GLM Generalized Linear Model.mp4
11.84 MB
8. Statistical Inference Relationship Between Variables/11. GLM Generalized Linear Model.vtt
5.16 KB
8. Statistical Inference Relationship Between Variables/12. Logistic Regression.mp4
28.78 MB
8. Statistical Inference Relationship Between Variables/12. Logistic Regression.vtt
11.12 KB
8. Statistical Inference Relationship Between Variables/13. Conclusions to Section 8.mp4
4.94 MB
8. Statistical Inference Relationship Between Variables/13. Conclusions to Section 8.vtt
2.03 KB
8. Statistical Inference Relationship Between Variables/14. Section 8 Quiz.html
163 B
8. Statistical Inference Relationship Between Variables/2. Test the Difference Between Two Groups.mp4
17.78 MB
8. Statistical Inference Relationship Between Variables/2. Test the Difference Between Two Groups.vtt
7.3 KB
8. Statistical Inference Relationship Between Variables/3. Test the Difference Between More Than Two Groups.mp4
28.28 MB
8. Statistical Inference Relationship Between Variables/3. Test the Difference Between More Than Two Groups.vtt
10.95 KB
8. Statistical Inference Relationship Between Variables/4. Explore the Relationship Between Two Quantitative Variables.mp4
9.44 MB
8. Statistical Inference Relationship Between Variables/4. Explore the Relationship Between Two Quantitative Variables.vtt
4.41 KB
8. Statistical Inference Relationship Between Variables/5. Correlation Analysis.mp4
20.73 MB
8. Statistical Inference Relationship Between Variables/5. Correlation Analysis.vtt
8.63 KB
8. Statistical Inference Relationship Between Variables/6. Linear Regression-Theory.mp4
24.87 MB
8. Statistical Inference Relationship Between Variables/6. Linear Regression-Theory.vtt
9.84 KB
8. Statistical Inference Relationship Between Variables/7. Linear Regression-Implementation in Python.mp4
30.15 MB
8. Statistical Inference Relationship Between Variables/7. Linear Regression-Implementation in Python.vtt
11.51 KB
8. Statistical Inference Relationship Between Variables/8. Conditions of Linear Regression.mp4
2.98 MB
8. Statistical Inference Relationship Between Variables/8. Conditions of Linear Regression.vtt
1.82 KB
8. Statistical Inference Relationship Between Variables/9. Conditions of Linear Regression-Check in Python.mp4
33.36 MB
8. Statistical Inference Relationship Between Variables/9. Conditions of Linear Regression-Check in Python.vtt
12.56 KB
9. Machine Learning for Data Science/1. How is Machine Learning Different from Statistical Data Analysis.mp4
13.71 MB
9. Machine Learning for Data Science/1. How is Machine Learning Different from Statistical Data Analysis.vtt
6.18 KB
9. Machine Learning for Data Science/2. What is Machine Learning (ML) About Some Theoretical Pointers.mp4
15.75 MB
9. Machine Learning for Data Science/2. What is Machine Learning (ML) About Some Theoretical Pointers.vtt
6.57 KB
[DesireCourse.Net].url
51 B