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Udemy - Machine Learning & Deep Learning in Python & R (11.2021)
大小 12.54 GB
文件数 562
Info Hash: 66B5BE3FA5C6183C4D6D3130D2DB5C56C6DD88E1
收录时间 2025-12-18 13:04:00
更新时间 2025-12-18 13:04:00
文件列表 (562)
01 - Introduction/001 Introduction.mp4
7.51 MB
01 - Introduction/001 Introduction_Downloadly.ir_en.srt
4.5 KB
01 - Introduction/002 Course Resources.html
370 B
02 - Setting up Python and Jupyter Notebook/003 Opening Jupyter Notebook.mp4
65.19 MB
02 - Setting up Python and Jupyter Notebook/006 Strings in Python_ Python Basics.mp4
64.43 MB
02 - Setting up Python and Jupyter Notebook/007 Lists, Tuples and Directories_ Python Basics.mp4
60.32 MB
02 - Setting up Python and Jupyter Notebook/009 Working with Pandas Library of Python.mp4
46.88 MB
02 - Setting up Python and Jupyter Notebook/008 Working with Numpy Library of Python.mp4
43.87 MB
02 - Setting up Python and Jupyter Notebook/004 Introduction to Jupyter.mp4
40.91 MB
02 - Setting up Python and Jupyter Notebook/010 Working with Seaborn Library of Python.mp4
40.36 MB
02 - Setting up Python and Jupyter Notebook/002 This is a milestone_.mp4
20.66 MB
02 - Setting up Python and Jupyter Notebook/001 Installing Python and Anaconda.mp4
16.27 MB
02 - Setting up Python and Jupyter Notebook/005 Arithmetic operators in Python_ Python Basics.mp4
5.84 MB
02 - Setting up Python and Jupyter Notebook/007 Lists, Tuples and Directories_ Python Basics_Downloadly.ir_en.srt
20.11 KB
02 - Setting up Python and Jupyter Notebook/006 Strings in Python_ Python Basics_Downloadly.ir_en.srt
17.98 KB
02 - Setting up Python and Jupyter Notebook/004 Introduction to Jupyter_Downloadly.ir_en.srt
13.2 KB
02 - Setting up Python and Jupyter Notebook/008 Working with Numpy Library of Python_Downloadly.ir_en.srt
11.85 KB
02 - Setting up Python and Jupyter Notebook/009 Working with Pandas Library of Python_Downloadly.ir_en.srt
10.13 KB
02 - Setting up Python and Jupyter Notebook/003 Opening Jupyter Notebook_Downloadly.ir_en.srt
9.84 KB
02 - Setting up Python and Jupyter Notebook/010 Working with Seaborn Library of Python_Downloadly.ir_en.srt
8.23 KB
02 - Setting up Python and Jupyter Notebook/005 Arithmetic operators in Python_ Python Basics_Downloadly.ir_en.srt
4.44 KB
02 - Setting up Python and Jupyter Notebook/002 This is a milestone__Downloadly.ir_en.srt
3.77 KB
02 - Setting up Python and Jupyter Notebook/001 Installing Python and Anaconda_Downloadly.ir_en.srt
2.65 KB
03 - Setting up R Studio and R crash course/007 Creating Barplots in R.mp4
96.73 MB
03 - Setting up R Studio and R crash course/003 Packages in R.mp4
82.94 MB
03 - Setting up R Studio and R crash course/006 Inputting data part 3_ Importing from CSV or Text files.mp4
60.1 MB
03 - Setting up R Studio and R crash course/008 Creating Histograms in R.mp4
42.02 MB
03 - Setting up R Studio and R crash course/004 Inputting data part 1_ Inbuilt datasets of R.mp4
40.74 MB
03 - Setting up R Studio and R crash course/002 Basics of R and R studio.mp4
38.84 MB
03 - Setting up R Studio and R crash course/001 Installing R and R studio.mp4
35.71 MB
03 - Setting up R Studio and R crash course/005 Inputting data part 2_ Manual data entry.mp4
5.82 MB
03 - Setting up R Studio and R crash course/007 Creating Barplots in R_Downloadly.ir_en.srt
15 KB
03 - Setting up R Studio and R crash course/003 Packages in R_Downloadly.ir_en.srt
12.24 KB
03 - Setting up R Studio and R crash course/002 Basics of R and R studio_Downloadly.ir_en.srt
11.97 KB
03 - Setting up R Studio and R crash course/006 Inputting data part 3_ Importing from CSV or Text files_Downloadly.ir_en.srt
7.03 KB
03 - Setting up R Studio and R crash course/001 Installing R and R studio_Downloadly.ir_en.srt
6.8 KB
03 - Setting up R Studio and R crash course/008 Creating Histograms in R_Downloadly.ir_en.srt
6.14 KB
03 - Setting up R Studio and R crash course/004 Inputting data part 1_ Inbuilt datasets of R_Downloadly.ir_en.srt
4.65 KB
03 - Setting up R Studio and R crash course/005 Inputting data part 2_ Manual data entry_Downloadly.ir_en.srt
3.35 KB
04 - Basics of Statistics/003 Describing data Graphically.mp4
65.39 MB
04 - Basics of Statistics/004 Measures of Centers.mp4
38.57 MB
04 - Basics of Statistics/005 Measures of Dispersion.mp4
22.85 MB
04 - Basics of Statistics/001 Types of Data.mp4
21.76 MB
04 - Basics of Statistics/002 Types of Statistics.mp4
3.76 MB
04 - Basics of Statistics/003 Describing data Graphically_Downloadly.ir_en.srt
12.77 KB
04 - Basics of Statistics/004 Measures of Centers_Downloadly.ir_en.srt
7.87 KB
04 - Basics of Statistics/005 Measures of Dispersion_Downloadly.ir_en.srt
5.23 KB
04 - Basics of Statistics/001 Types of Data_Downloadly.ir_en.srt
5.04 KB
04 - Basics of Statistics/002 Types of Statistics_Downloadly.ir_en.srt
3.17 KB
05 - Introduction to Machine Learning/001 Introduction to Machine Learning.mp4
109.17 MB
05 - Introduction to Machine Learning/002 Building a Machine Learning Model.mp4
12.62 MB
05 - Introduction to Machine Learning/001 Introduction to Machine Learning_Downloadly.ir_en.srt
19.73 KB
05 - Introduction to Machine Learning/002 Building a Machine Learning Model_Downloadly.ir_en.srt
10.25 KB
06 - Data Preprocessing/016 Bi-variate analysis and Variable transformation.mp4
100.39 MB
06 - Data Preprocessing/008 EDD in R.mp4
96.98 MB
06 - Data Preprocessing/025 Correlation Matrix in R.mp4
83.13 MB
06 - Data Preprocessing/023 Correlation Analysis.mp4
71.59 MB
06 - Data Preprocessing/010 Outlier Treatment in Python.mp4
70.25 MB
06 - Data Preprocessing/003 The Dataset and the Data Dictionary.mp4
69.28 MB
06 - Data Preprocessing/007 EDD in Python.mp4
61.8 MB
06 - Data Preprocessing/018 Variable transformation in R.mp4
55.42 MB
06 - Data Preprocessing/024 Correlation Analysis in Python.mp4
55.3 MB
06 - Data Preprocessing/017 Variable transformation and deletion in Python.mp4
44.11 MB
06 - Data Preprocessing/022 Dummy variable creation in R.mp4
43.98 MB
06 - Data Preprocessing/020 Dummy variable creation_ Handling qualitative data.mp4
36.8 MB
06 - Data Preprocessing/011 Outlier Treatment in R.mp4
30.74 MB
06 - Data Preprocessing/004 Importing Data in Python.mp4
27.83 MB
06 - Data Preprocessing/021 Dummy variable creation in Python.mp4
26.53 MB
06 - Data Preprocessing/014 Missing Value imputation in R.mp4
26 MB
06 - Data Preprocessing/012 Missing Value Imputation.mp4
24.99 MB
06 - Data Preprocessing/009 Outlier Treatment.mp4
24.49 MB
06 - Data Preprocessing/006 Univariate analysis and EDD.mp4
24.18 MB
06 - Data Preprocessing/013 Missing Value Imputation in Python.mp4
23.42 MB
06 - Data Preprocessing/019 Non-usable variables.mp4
20.24 MB
06 - Data Preprocessing/002 Data Exploration.mp4
20.11 MB
06 - Data Preprocessing/015 Seasonality in Data.mp4
17.01 MB
06 - Data Preprocessing/001 Gathering Business Knowledge.mp4
14.52 MB
06 - Data Preprocessing/005 Importing the dataset into R.mp4
4.51 MB
06 - Data Preprocessing/016 Bi-variate analysis and Variable transformation_Downloadly.ir_en.srt
19.34 KB
06 - Data Preprocessing/010 Outlier Treatment in Python_Downloadly.ir_en.srt
14.13 KB
06 - Data Preprocessing/008 EDD in R_Downloadly.ir_en.srt
13.19 KB
06 - Data Preprocessing/023 Correlation Analysis_Downloadly.ir_en.srt
11.92 KB
06 - Data Preprocessing/007 EDD in Python_Downloadly.ir_en.srt
11.61 KB
06 - Data Preprocessing/018 Variable transformation in R_Downloadly.ir_en.srt
9.94 KB
06 - Data Preprocessing/025 Correlation Matrix in R_Downloadly.ir_en.srt
9.59 KB
06 - Data Preprocessing/017 Variable transformation and deletion in Python_Downloadly.ir_en.srt
9.03 KB
06 - Data Preprocessing/003 The Dataset and the Data Dictionary_Downloadly.ir_en.srt
8.76 KB
06 - Data Preprocessing/024 Correlation Analysis in Python_Downloadly.ir_en.srt
6.96 KB
06 - Data Preprocessing/004 Importing Data in Python_Downloadly.ir_en.srt
6.46 KB
06 - Data Preprocessing/021 Dummy variable creation in Python_Downloadly.ir_en.srt
6.21 KB
06 - Data Preprocessing/022 Dummy variable creation in R_Downloadly.ir_en.srt
6.09 KB
06 - Data Preprocessing/019 Non-usable variables_Downloadly.ir_en.srt
6.03 KB
06 - Data Preprocessing/020 Dummy variable creation_ Handling qualitative data_Downloadly.ir_en.srt
5.77 KB
06 - Data Preprocessing/009 Outlier Treatment_Downloadly.ir_en.srt
5.09 KB
06 - Data Preprocessing/011 Outlier Treatment in R_Downloadly.ir_en.srt
4.89 KB
06 - Data Preprocessing/013 Missing Value Imputation in Python_Downloadly.ir_en.srt
4.78 KB
06 - Data Preprocessing/012 Missing Value Imputation_Downloadly.ir_en.srt
4.23 KB
06 - Data Preprocessing/014 Missing Value imputation in R_Downloadly.ir_en.srt
4.06 KB
06 - Data Preprocessing/006 Univariate analysis and EDD_Downloadly.ir_en.srt
3.97 KB
06 - Data Preprocessing/015 Seasonality in Data_Downloadly.ir_en.srt
3.97 KB
06 - Data Preprocessing/002 Data Exploration_Downloadly.ir_en.srt
3.73 KB
06 - Data Preprocessing/001 Gathering Business Knowledge_Downloadly.ir_en.srt
3.52 KB
06 - Data Preprocessing/005 Importing the dataset into R_Downloadly.ir_en.srt
2.81 KB
07 - Linear Regression/020 Ridge regression and Lasso in Python.mp4
128.84 MB
07 - Linear Regression/021 Ridge regression and Lasso in R.mp4
103.43 MB
07 - Linear Regression/003 Assessing accuracy of predicted coefficients.mp4
92.11 MB
07 - Linear Regression/017 Subset selection techniques.mp4
79.06 MB
07 - Linear Regression/015 Test-Train Split in R.mp4
75.6 MB
07 - Linear Regression/010 Multiple Linear Regression in Python.mp4
69.73 MB
07 - Linear Regression/018 Subset selection in R.mp4
63.53 MB
07 - Linear Regression/005 Simple Linear Regression in Python.mp4
63.43 MB
07 - Linear Regression/011 Multiple Linear Regression in R.mp4
62.37 MB
07 - Linear Regression/008 The F - statistic.mp4
55.98 MB
07 - Linear Regression/014 Test train split in Python.mp4
44.88 MB
07 - Linear Regression/004 Assessing Model Accuracy_ RSE and R squared.mp4
43.59 MB
07 - Linear Regression/002 Basic Equations and Ordinary Least Squares (OLS) method.mp4
43.37 MB
07 - Linear Regression/012 Test-train split.mp4
41.88 MB
07 - Linear Regression/006 Simple Linear Regression in R.mp4
40.82 MB
07 - Linear Regression/007 Multiple Linear Regression.mp4
34.31 MB
07 - Linear Regression/019 Shrinkage methods_ Ridge and Lasso.mp4
33.34 MB
07 - Linear Regression/013 Bias Variance trade-off.mp4
25.09 MB
07 - Linear Regression/009 Interpreting results of Categorical variables.mp4
22.5 MB
07 - Linear Regression/016 Regression models other than OLS.mp4
16.54 MB
07 - Linear Regression/022 Heteroscedasticity.mp4
14.49 MB
07 - Linear Regression/001 The Problem Statement.mp4
2.48 MB
07 - Linear Regression/020 Ridge regression and Lasso in Python_Downloadly.ir_en.srt
20.91 KB
07 - Linear Regression/003 Assessing accuracy of predicted coefficients_Downloadly.ir_en.srt
17.41 KB
07 - Linear Regression/010 Multiple Linear Regression in Python_Downloadly.ir_en.srt
14.29 KB
07 - Linear Regression/017 Subset selection techniques_Downloadly.ir_en.srt
13.68 KB
07 - Linear Regression/005 Simple Linear Regression in Python_Downloadly.ir_en.srt
13.13 KB
07 - Linear Regression/021 Ridge regression and Lasso in R_Downloadly.ir_en.srt
12.38 KB
07 - Linear Regression/012 Test-train split_Downloadly.ir_en.srt
10.88 KB
07 - Linear Regression/002 Basic Equations and Ordinary Least Squares (OLS) method_Downloadly.ir_en.srt
10.44 KB
07 - Linear Regression/008 The F - statistic_Downloadly.ir_en.srt
9.67 KB
07 - Linear Regression/015 Test-Train Split in R_Downloadly.ir_en.srt
9.36 KB
07 - Linear Regression/006 Simple Linear Regression in R_Downloadly.ir_en.srt
9.26 KB
07 - Linear Regression/011 Multiple Linear Regression in R_Downloadly.ir_en.srt
9.19 KB
07 - Linear Regression/019 Shrinkage methods_ Ridge and Lasso_Downloadly.ir_en.srt
8.98 KB
07 - Linear Regression/014 Test train split in Python_Downloadly.ir_en.srt
8.74 KB
07 - Linear Regression/004 Assessing Model Accuracy_ RSE and R squared_Downloadly.ir_en.srt
8.37 KB
07 - Linear Regression/018 Subset selection in R_Downloadly.ir_en.srt
8.22 KB
07 - Linear Regression/013 Bias Variance trade-off_Downloadly.ir_en.srt
6.95 KB
07 - Linear Regression/007 Multiple Linear Regression_Downloadly.ir_en.srt
6.3 KB
07 - Linear Regression/009 Interpreting results of Categorical variables_Downloadly.ir_en.srt
5.92 KB
07 - Linear Regression/016 Regression models other than OLS_Downloadly.ir_en.srt
4.75 KB
07 - Linear Regression/022 Heteroscedasticity_Downloadly.ir_en.srt
2.83 KB
07 - Linear Regression/001 The Problem Statement_Downloadly.ir_en.srt
1.66 KB
08 - Classification Models_ Data Preparation/001 The Data and the Data Dictionary.mp4
79 MB
08 - Classification Models_ Data Preparation/004 EDD in Python.mp4
77.62 MB
08 - Classification Models_ Data Preparation/005 EDD in R.mp4
66.52 MB
08 - Classification Models_ Data Preparation/006 Outlier treatment in Python.mp4
47.32 MB
08 - Classification Models_ Data Preparation/013 Dummy variable creation in R.mp4
44.35 MB
08 - Classification Models_ Data Preparation/011 Variable transformation in R.mp4
38.02 MB
08 - Classification Models_ Data Preparation/010 Variable transformation and Deletion in Python.mp4
29.25 MB
08 - Classification Models_ Data Preparation/012 Dummy variable creation in Python.mp4
26.37 MB
08 - Classification Models_ Data Preparation/007 Outlier Treatment in R.mp4
25.37 MB
08 - Classification Models_ Data Preparation/008 Missing Value Imputation in Python.mp4
22.56 MB
08 - Classification Models_ Data Preparation/002 Data Import in Python.mp4
22.06 MB
08 - Classification Models_ Data Preparation/009 Missing Value imputation in R.mp4
19.05 MB
08 - Classification Models_ Data Preparation/003 Importing the dataset into R.mp4
4.6 MB
08 - Classification Models_ Data Preparation/004 EDD in Python_Downloadly.ir_en.srt
17.78 KB
08 - Classification Models_ Data Preparation/005 EDD in R_Downloadly.ir_en.srt
11.37 KB
08 - Classification Models_ Data Preparation/006 Outlier treatment in Python_Downloadly.ir_en.srt
9.55 KB
08 - Classification Models_ Data Preparation/001 The Data and the Data Dictionary_Downloadly.ir_en.srt
9.33 KB
08 - Classification Models_ Data Preparation/011 Variable transformation in R_Downloadly.ir_en.srt
6.77 KB
08 - Classification Models_ Data Preparation/013 Dummy variable creation in R_Downloadly.ir_en.srt
6.48 KB
08 - Classification Models_ Data Preparation/012 Dummy variable creation in Python_Downloadly.ir_en.srt
6.15 KB
08 - Classification Models_ Data Preparation/002 Data Import in Python_Downloadly.ir_en.srt
5.29 KB
08 - Classification Models_ Data Preparation/008 Missing Value Imputation in Python_Downloadly.ir_en.srt
4.83 KB
08 - Classification Models_ Data Preparation/007 Outlier Treatment in R_Downloadly.ir_en.srt
4.8 KB
08 - Classification Models_ Data Preparation/010 Variable transformation and Deletion in Python_Downloadly.ir_en.srt
4.31 KB
08 - Classification Models_ Data Preparation/009 Missing Value imputation in R_Downloadly.ir_en.srt
4.1 KB
08 - Classification Models_ Data Preparation/003 Importing the dataset into R_Downloadly.ir_en.srt
2.81 KB
09 - The Three classification models/001 Three Classifiers and the problem statement.mp4
20.33 MB
09 - The Three classification models/002 Why can't we use Linear Regression_.mp4
6.16 MB
09 - The Three classification models/002 Why can't we use Linear Regression__en.vtt
4.78 KB
09 - The Three classification models/001 Three Classifiers and the problem statement_Downloadly.ir_en.srt
3.93 KB
09 - The Three classification models/002 Why can't we use Linear Regression__Downloadly.ir_en.srt
1.81 KB
10 - Logistic Regression/012 Predicting probabilities, assigning classes and making Confusion Matrix in R.mp4
55.69 MB
10 - Logistic Regression/009 Creating Confusion Matrix in Python.mp4
51.25 MB
10 - Logistic Regression/002 Training a Simple Logistic Model in Python.mp4
47.87 MB
10 - Logistic Regression/010 Evaluating performance of model.mp4
35.16 MB
10 - Logistic Regression/001 Logistic Regression.mp4
32.92 MB
10 - Logistic Regression/004 Result of Simple Logistic Regression.mp4
26.93 MB
10 - Logistic Regression/006 Training multiple predictor Logistic model in Python.mp4
26.25 MB
10 - Logistic Regression/003 Training a Simple Logistic model in R.mp4
25.56 MB
10 - Logistic Regression/008 Confusion Matrix.mp4
21.1 MB
10 - Logistic Regression/007 Training multiple predictor Logistic model in R.mp4
15.78 MB
10 - Logistic Regression/011 Evaluating model performance in Python.mp4
9.01 MB
10 - Logistic Regression/005 Logistic with multiple predictors.mp4
3.2 MB
10 - Logistic Regression/009 Creating Confusion Matrix in Python_Downloadly.ir_en.srt
10.85 KB
10 - Logistic Regression/002 Training a Simple Logistic Model in Python_Downloadly.ir_en.srt
10.64 KB
10 - Logistic Regression/010 Evaluating performance of model_Downloadly.ir_en.srt
9.38 KB
10 - Logistic Regression/001 Logistic Regression_Downloadly.ir_en.srt
8.64 KB
10 - Logistic Regression/012 Predicting probabilities, assigning classes and making Confusion Matrix in R_Downloadly.ir_en.srt
7.41 KB
10 - Logistic Regression/006 Training multiple predictor Logistic model in Python_Downloadly.ir_en.srt
6.01 KB
10 - Logistic Regression/004 Result of Simple Logistic Regression_Downloadly.ir_en.srt
5.9 KB
10 - Logistic Regression/008 Confusion Matrix_Downloadly.ir_en.srt
4.92 KB
10 - Logistic Regression/003 Training a Simple Logistic model in R_Downloadly.ir_en.srt
4.21 KB
10 - Logistic Regression/005 Logistic with multiple predictors_Downloadly.ir_en.srt
2.96 KB
10 - Logistic Regression/011 Evaluating model performance in Python_Downloadly.ir_en.srt
2.66 KB
10 - Logistic Regression/007 Training multiple predictor Logistic model in R_Downloadly.ir_en.srt
2.02 KB
11 - Linear Discriminant Analysis (LDA)/003 Linear Discriminant Analysis in R.mp4
74.35 MB
11 - Linear Discriminant Analysis (LDA)/001 Linear Discriminant Analysis.mp4
40.95 MB
11 - Linear Discriminant Analysis (LDA)/002 LDA in Python.mp4
4.01 MB
11 - Linear Discriminant Analysis (LDA)/001 Linear Discriminant Analysis_Downloadly.ir_en.srt
11.9 KB
11 - Linear Discriminant Analysis (LDA)/003 Linear Discriminant Analysis in R_Downloadly.ir_en.srt
10.23 KB
11 - Linear Discriminant Analysis (LDA)/002 LDA in Python_Downloadly.ir_en.srt
2.57 KB
12 - K-Nearest Neighbors classifier/004 K-Nearest Neighbors classifier.mp4
75.42 MB
12 - K-Nearest Neighbors classifier/003 Test-Train Split in R.mp4
74.23 MB
12 - K-Nearest Neighbors classifier/007 K-Nearest Neighbors in R.mp4
64.85 MB
12 - K-Nearest Neighbors classifier/006 K-Nearest Neighbors in Python_ Part 2.mp4
42.35 MB
12 - K-Nearest Neighbors classifier/001 Test-Train Split.mp4
39.29 MB
12 - K-Nearest Neighbors classifier/005 K-Nearest Neighbors in Python_ Part 1.mp4
37.23 MB
12 - K-Nearest Neighbors classifier/002 Test-Train Split in Python.mp4
10.51 MB
12 - K-Nearest Neighbors classifier/001 Test-Train Split_Downloadly.ir_en.srt
10.59 KB
12 - K-Nearest Neighbors classifier/003 Test-Train Split in R_Downloadly.ir_en.srt
9.81 KB
12 - K-Nearest Neighbors classifier/007 K-Nearest Neighbors in R_Downloadly.ir_en.srt
8.98 KB
12 - K-Nearest Neighbors classifier/004 K-Nearest Neighbors classifier_en.vtt
8.73 KB
12 - K-Nearest Neighbors classifier/002 Test-Train Split in Python_Downloadly.ir_en.srt
7.4 KB
12 - K-Nearest Neighbors classifier/006 K-Nearest Neighbors in Python_ Part 2_Downloadly.ir_en.srt
6.93 KB
12 - K-Nearest Neighbors classifier/005 K-Nearest Neighbors in Python_ Part 1_Downloadly.ir_en.srt
5.83 KB
12 - K-Nearest Neighbors classifier/004 K-Nearest Neighbors classifier_Downloadly.ir_en.srt
1.75 KB
13 - Comparing results from 3 models/001 Understanding the results of classification models.mp4
41.64 MB
13 - Comparing results from 3 models/002 Summary of the three models.mp4
6.52 MB
13 - Comparing results from 3 models/001 Understanding the results of classification models_Downloadly.ir_en.srt
7.52 KB
13 - Comparing results from 3 models/002 Summary of the three models_Downloadly.ir_en.srt
5.96 KB
14 - Simple Decision Trees/013 Building a Regression Tree in R.mp4
103.33 MB
14 - Simple Decision Trees/018 Pruning a Tree in R.mp4
82.09 MB
14 - Simple Decision Trees/017 Pruning a tree in Python.mp4
73.5 MB
14 - Simple Decision Trees/011 Splitting Data into Test and Train Set in R.mp4
43.97 MB
14 - Simple Decision Trees/002 Understanding a Regression Tree.mp4
43.72 MB
14 - Simple Decision Trees/006 Importing the Data set into R.mp4
43.7 MB
14 - Simple Decision Trees/001 Basics of Decision Trees.mp4
42.64 MB
14 - Simple Decision Trees/004 The Data set for this part.mp4
37.26 MB
14 - Simple Decision Trees/005 Importing the Data set into Python.mp4
25.84 MB
14 - Simple Decision Trees/008 Dummy Variable creation in Python.mp4
24.94 MB
14 - Simple Decision Trees/010 Test-Train split in Python.mp4
24.87 MB
14 - Simple Decision Trees/015 Plotting decision tree in Python.mp4
21.47 MB
14 - Simple Decision Trees/016 Pruning a tree.mp4
18.46 MB
14 - Simple Decision Trees/007 Missing value treatment in Python.mp4
17.92 MB
14 - Simple Decision Trees/012 Creating Decision tree in Python.mp4
17.87 MB
14 - Simple Decision Trees/014 Evaluating model performance in Python.mp4
16.44 MB
14 - Simple Decision Trees/009 Dependent- Independent Data split in Python.mp4
15.18 MB
14 - Simple Decision Trees/003 The stopping criteria for controlling tree growth.mp4
4.59 MB
14 - Simple Decision Trees/013 Building a Regression Tree in R_Downloadly.ir_en.srt
15.5 KB
14 - Simple Decision Trees/002 Understanding a Regression Tree_Downloadly.ir_en.srt
11.92 KB
14 - Simple Decision Trees/001 Basics of Decision Trees_Downloadly.ir_en.srt
11.27 KB
14 - Simple Decision Trees/017 Pruning a tree in Python_Downloadly.ir_en.srt
10.72 KB
14 - Simple Decision Trees/018 Pruning a Tree in R_Downloadly.ir_en.srt
9.66 KB
14 - Simple Decision Trees/006 Importing the Data set into R_Downloadly.ir_en.srt
7.24 KB
14 - Simple Decision Trees/010 Test-Train split in Python_Downloadly.ir_en.srt
6.17 KB
14 - Simple Decision Trees/005 Importing the Data set into Python_Downloadly.ir_en.srt
5.88 KB
14 - Simple Decision Trees/011 Splitting Data into Test and Train Set in R_Downloadly.ir_en.srt
5.83 KB
14 - Simple Decision Trees/008 Dummy Variable creation in Python_Downloadly.ir_en.srt
5.34 KB
14 - Simple Decision Trees/015 Plotting decision tree in Python_Downloadly.ir_en.srt
5.29 KB
14 - Simple Decision Trees/014 Evaluating model performance in Python_Downloadly.ir_en.srt
4.73 KB
14 - Simple Decision Trees/016 Pruning a tree_Downloadly.ir_en.srt
4.54 KB
14 - Simple Decision Trees/012 Creating Decision tree in Python_Downloadly.ir_en.srt
4.31 KB
14 - Simple Decision Trees/009 Dependent- Independent Data split in Python_Downloadly.ir_en.srt
4.24 KB
14 - Simple Decision Trees/007 Missing value treatment in Python_Downloadly.ir_en.srt
3.73 KB
14 - Simple Decision Trees/003 The stopping criteria for controlling tree growth_Downloadly.ir_en.srt
3.52 KB
14 - Simple Decision Trees/004 The Data set for this part_Downloadly.ir_en.srt
3.28 KB
15 - Simple Classification Tree/005 Building a classification Tree in R.mp4
85.1 MB
15 - Simple Classification Tree/004 Classification tree in Python _ Training.mp4
82.71 MB
15 - Simple Classification Tree/003 Classification tree in Python _ Preprocessing.mp4
45.38 MB
15 - Simple Classification Tree/001 Classification tree.mp4
28.2 MB
15 - Simple Classification Tree/002 The Data set for Classification problem.mp4
18.57 MB
15 - Simple Classification Tree/006 Advantages and Disadvantages of Decision Trees.mp4
2.23 MB
15 - Simple Classification Tree/004 Classification tree in Python _ Training_Downloadly.ir_en.srt
14.51 KB
15 - Simple Classification Tree/005 Building a classification Tree in R_Downloadly.ir_en.srt
10.14 KB
15 - Simple Classification Tree/003 Classification tree in Python _ Preprocessing_Downloadly.ir_en.srt
8.93 KB
15 - Simple Classification Tree/001 Classification tree_Downloadly.ir_en.srt
6.72 KB
15 - Simple Classification Tree/002 The Data set for Classification problem_Downloadly.ir_en.srt
1.91 KB
15 - Simple Classification Tree/006 Advantages and Disadvantages of Decision Trees_Downloadly.ir_en.srt
1.7 KB
16 - Ensemble technique 1 - Bagging/002 Ensemble technique 1 - Bagging in Python.mp4
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16 - Ensemble technique 1 - Bagging/003 Bagging in R.mp4
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16 - Ensemble technique 1 - Bagging/001 Ensemble technique 1 - Bagging.mp4
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17 - Ensemble technique 2 - Random Forests/003 Using Grid Search in Python.mp4
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17 - Ensemble technique 2 - Random Forests/002 Ensemble technique 2 - Random Forests in Python.mp4
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19 - Maximum Margin Classifier/002 The Concept of a Hyperplane.mp4
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20 - Support Vector Classifier/001 Support Vector classifiers.mp4
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22 - Creating Support Vector Machine Model in Python/007 SVM based Regression Model in Python.mp4
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23 - Creating Support Vector Machine Model in R/006 Polynomial Kernel with Hyperparameter Tuning_Downloadly.ir_en.srt
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24 - Introduction - Deep Learning/004 Python - Creating Perceptron model.mp4
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24 - Introduction - Deep Learning/001 Introduction to Neural Networks and Course flow.mp4
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25 - Neural Networks - Stacking cells to create network/003 Back Propagation.mp4
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26 - ANN in Python/009 Building Neural Network for Regression Problem.mp4
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27 - ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4
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27 - ANN in R/005 ANN with NeuralNets Package.mp4
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27 - ANN in R/001 Installing Keras and Tensorflow.mp4
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27 - ANN in R/003 Building,Compiling and Training_Downloadly.ir_en.srt
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28 - CNN - Basics/005 Channels.mp4
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28 - CNN - Basics/001 CNN Introduction.mp4
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29 - Creating CNN model in Python/004 Comparison - Pooling vs Without Pooling in Python.mp4
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29 - Creating CNN model in Python/003 CNN model in Python - Training and results.mp4
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30 - Creating CNN model in R/003 Creating Model Architecture.mp4
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30 - Creating CNN model in R/001 CNN on MNIST Fashion Dataset - Model Architecture.mp4
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30 - Creating CNN model in R/001 CNN on MNIST Fashion Dataset - Model Architecture_Downloadly.ir_en.srt
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31 - Project _ Creating CNN model from scratch in Python/003 Project - Data Preprocessing in Python.mp4
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33 - Project _ Data Augmentation for avoiding overfitting/002 Project - Data Augmentation Training and Results.mp4
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39 - Time Series - Implementation in Python/002 Naive (Persistence) model in Python_Downloadly.ir_en.srt
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39 - Time Series - Implementation in Python/006 Moving Average model -Basics_Downloadly.ir_en.srt
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39 - Time Series - Implementation in Python/003 Auto Regression Model - Basics_Downloadly.ir_en.srt
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40 - Time Series - ARIMA model/003 ARIMA model in Python.mp4
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40 - Time Series - ARIMA model/001 ACF and PACF.mp4
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40 - Time Series - ARIMA model/004 ARIMA model with Walk Forward Validation in Python.mp4
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40 - Time Series - ARIMA model/002 ARIMA model - Basics.mp4
6.58 MB
40 - Time Series - ARIMA model/003 ARIMA model in Python_Downloadly.ir_en.srt
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40 - Time Series - ARIMA model/001 ACF and PACF_Downloadly.ir_en.srt
8.65 KB
40 - Time Series - ARIMA model/004 ARIMA model with Walk Forward Validation in Python_Downloadly.ir_en.srt
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40 - Time Series - ARIMA model/002 ARIMA model - Basics_Downloadly.ir_en.srt
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41 - Time Series - SARIMA model/002 SARIMA model in Python.mp4
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41 - Time Series - SARIMA model/001 SARIMA model.mp4
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41 - Time Series - SARIMA model/003 Stationary time Series.mp4
2.21 MB
41 - Time Series - SARIMA model/002 SARIMA model in Python_Downloadly.ir_en.srt
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41 - Time Series - SARIMA model/001 SARIMA model_Downloadly.ir_en.srt
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41 - Time Series - SARIMA model/003 Stationary time Series_Downloadly.ir_en.srt
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42 - Bonus Section/001 The final milestone_.mp4
3.35 MB
42 - Bonus Section/001 The final milestone__Downloadly.ir_en.srt
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42 - Bonus Section/002 Congratulations & About your certificate.html
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