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| 001 Data Preprocessing.en.srt |
16.28Кб |
| 001 Data Preprocessing.mp4 |
75.40Мб |
| 001 Introduction and data Preprocessing.en.srt |
6.98Кб |
| 001 Introduction and data Preprocessing.mp4 |
46.59Мб |
| 001 Introduction to Jupyter Notebook.en.srt |
14.07Кб |
| 001 Introduction to Jupyter Notebook.mp4 |
54.98Мб |
| 001 Introduction to Linear Regression.en.srt |
13.10Кб |
| 001 Introduction to Linear Regression.mp4 |
36.61Мб |
| 001 Introduction to Logistic Regression.en.srt |
12.82Кб |
| 001 Introduction to Logistic Regression.mp4 |
32.62Мб |
| 001 Introduction to Multiple Linear Regression.en.srt |
7.88Кб |
| 001 Introduction to Multiple Linear Regression.mp4 |
30.89Мб |
| 001 Introduction to Predictive Modelling with Python.en.srt |
8.82Кб |
| 001 Introduction to Predictive Modelling with Python.mp4 |
45.98Мб |
| 001 Introduction to Salary Dataset.en.srt |
9.32Кб |
| 001 Introduction to Salary Dataset.mp4 |
35.84Мб |
| 001 Intro to Credit Risk.en.srt |
9.08Кб |
| 001 Intro to Credit Risk.mp4 |
46.34Мб |
| 002 Creating Dummies.en.srt |
14.00Кб |
| 002 Creating Dummies.mp4 |
78.61Мб |
| 002 Dataframe.en.srt |
9.71Кб |
| 002 Dataframe.mp4 |
43.36Мб |
| 002 Estimated Regression Model.en.srt |
10.85Кб |
| 002 Estimated Regression Model.mp4 |
35.68Мб |
| 002 Fitting Linear Regression.en.srt |
8.30Кб |
| 002 Fitting Linear Regression.mp4 |
50.92Мб |
| 002 Fitting Model with Sklearn Library.en.srt |
6.62Кб |
| 002 Fitting Model with Sklearn Library.mp4 |
42.14Мб |
| 002 Installation.en.srt |
10.45Кб |
| 002 Installation.mp4 |
42.99Мб |
| 002 Label Encoding.en.srt |
7.02Кб |
| 002 Label Encoding.mp4 |
36.56Мб |
| 002 Understanding Dataset and Problem Statement.en.srt |
11.25Кб |
| 002 Understanding Dataset and Problem Statement.mp4 |
49.58Мб |
| 002 Understanding Problem Statement and Splitting.mp4 |
59.22Мб |
| 003 Fitting Linear Regression Continue.en.srt |
8.66Кб |
| 003 Fitting Linear Regression Continue.mp4 |
26.67Мб |
| 003 Fitting Model with Statmodel Library.en.srt |
11.57Кб |
| 003 Fitting Model with Statmodel Library.mp4 |
78.26Мб |
| 003 Gender Variable.en.srt |
9.20Кб |
| 003 Gender Variable.mp4 |
52.45Мб |
| 003 Import the Library.en.srt |
8.40Кб |
| 003 Import the Library.mp4 |
40.84Мб |
| 003 Imputer.en.srt |
12.03Кб |
| 003 Imputer.mp4 |
71.17Мб |
| 003 Removing one Dummy and Splitting Dataset.en.srt |
8.04Кб |
| 003 Removing one Dummy and Splitting Dataset.mp4 |
44.26Мб |
| 003 Scaling and Fitting Logistic Regression Model.en.srt |
6.01Кб |
| 003 Scaling and Fitting Logistic Regression Model.mp4 |
41.71Мб |
| 003 Working with Correlation Plots.en.srt |
8.57Кб |
| 003 Working with Correlation Plots.mp4 |
44.04Мб |
| 004 Create Dumies.en.srt |
7.24Кб |
| 004 Create Dumies.mp4 |
39.25Мб |
| 004 Dependents and Education Variable.en.srt |
10.02Кб |
| 004 Dependents and Education Variable.mp4 |
61.55Мб |
| 004 Plot.en.srt |
9.16Кб |
| 004 Plot.mp4 |
42.37Мб |
| 004 Prediction and Introduction to Confusion Matrix.en.srt |
13.39Кб |
| 004 Prediction and Introduction to Confusion Matrix.mp4 |
63.87Мб |
| 004 Prediction from the Model.en.srt |
8.28Кб |
| 004 Prediction from the Model.mp4 |
40.36Мб |
| 004 Training Set and Predictions.en.srt |
7.80Кб |
| 004 Training Set and Predictions.mp4 |
53.73Мб |
| 004 Using Statsmodel Package.en.srt |
7.22Кб |
| 004 Using Statsmodel Package.mp4 |
49.20Мб |
| 004 Working with Correlation Plots Continue.en.srt |
7.93Кб |
| 004 Working with Correlation Plots Continue.mp4 |
42.76Мб |
| 005 Backward Elimination Approach.en.srt |
9.43Кб |
| 005 Backward Elimination Approach.mp4 |
54.53Мб |
| 005 Confusion Matrix Explanation.en.srt |
8.09Кб |
| 005 Confusion Matrix Explanation.mp4 |
32.60Мб |
| 005 Correlation Plot and Splitting Dataset.en.srt |
16.53Кб |
| 005 Correlation Plot and Splitting Dataset.mp4 |
76.14Мб |
| 005 Missing Values Treatment in Self Employed Variable.en.srt |
5.99Кб |
| 005 Missing Values Treatment in Self Employed Variable.mp4 |
42.98Мб |
| 005 Prediction from the Model Continue.mp4 |
48.88Мб |
| 005 Splitting Dataset.en.srt |
10.73Кб |
| 005 Splitting Dataset.mp4 |
58.76Мб |
| 005 Stats Models to Make Optimal Model.en.srt |
11.26Кб |
| 005 Stats Models to Make Optimal Model.mp4 |
62.02Мб |
| 005 Tip Example.en.srt |
10.90Кб |
| 005 Tip Example.mp4 |
50.64Мб |
| 006 Backward Elimination Approach Continue.en.srt |
7.93Кб |
| 006 Backward Elimination Approach Continue.mp4 |
51.60Мб |
| 006 Checking Model Performance using Confusion Matrix.en.srt |
15.03Кб |
| 006 Checking Model Performance using Confusion Matrix.mp4 |
87.97Мб |
| 006 Features Scaling.en.srt |
7.89Кб |
| 006 Features Scaling.mp4 |
31.89Мб |
| 006 MLR Model with Sklearn and Predictions.en.srt |
6.59Кб |
| 006 MLR Model with Sklearn and Predictions.mp4 |
34.44Мб |
| 006 Outliers Treatment in Applicant Income Variable.en.srt |
9.35Кб |
| 006 Outliers Treatment in Applicant Income Variable.mp4 |
49.03Мб |
| 006 Print Function.en.srt |
7.07Кб |
| 006 Print Function.mp4 |
43.88Мб |
| 006 Steps to Make Optimal Model.en.srt |
9.65Кб |
| 006 Steps to Make Optimal Model.mp4 |
53.37Мб |
| 007 Making Optimal Model by Backward Elimination.en.srt |
10.88Кб |
| 007 Making Optimal Model by Backward Elimination.mp4 |
73.96Мб |
| 007 Missing Values.en.srt |
9.80Кб |
| 007 Missing Values.mp4 |
67.17Мб |
| 007 MLR model with Statsmodels and Predictions.en.srt |
9.90Кб |
| 007 MLR model with Statsmodels and Predictions.mp4 |
53.84Мб |
| 007 More on Backward Elimination Approach.en.srt |
10.47Кб |
| 007 More on Backward Elimination Approach.mp4 |
67.16Мб |
| 007 Plots Understanding.en.srt |
9.05Кб |
| 007 Plots Understanding.mp4 |
57.74Мб |
| 008 Adjusted R Square.en.srt |
10.84Кб |
| 008 Adjusted R Square.mp4 |
65.89Мб |
| 008 Final Model.en.srt |
12.88Кб |
| 008 Final Model.mp4 |
71.05Мб |
| 008 Getting Optimal model with Backward Elimination Approach.en.srt |
9.22Кб |
| 008 Getting Optimal model with Backward Elimination Approach.mp4 |
73.00Мб |
| 008 Plots Understanding Continue.en.srt |
9.93Кб |
| 008 Plots Understanding Continue.mp4 |
56.12Мб |
| 008 Property Area Variable.en.srt |
6.44Кб |
| 008 Property Area Variable.mp4 |
46.12Мб |
| 009 Final Optimal Model Implementation.en.srt |
13.00Кб |
| 009 Final Optimal Model Implementation.mp4 |
78.63Мб |
| 009 RMSE Calculation and Multicollinearity Theory.en.srt |
10.30Кб |
| 009 RMSE Calculation and Multicollinearity Theory.mp4 |
47.51Мб |
| 009 ROC Curves.en.srt |
10.80Кб |
| 009 ROC Curves.mp4 |
59.10Мб |
| 009 Splitting Data.en.srt |
12.67Кб |
| 009 Splitting Data.mp4 |
94.63Мб |
| 010 Final Model and Area under ROC Curve.en.srt |
11.17Кб |
| 010 Final Model and Area under ROC Curve.mp4 |
83.51Мб |
| 010 Threshold Changing.en.srt |
10.65Кб |
| 010 Threshold Changing.mp4 |
58.23Мб |
| 010 VIF Calculation.en.srt |
7.46Кб |
| 010 VIF Calculation.mp4 |
39.71Мб |
| 011 Final Predictions.en.srt |
8.60Кб |
| 011 Final Predictions.mp4 |
50.74Мб |
| 011 VIF and Correlation Plots.en.srt |
12.03Кб |
| 011 VIF and Correlation Plots.mp4 |
68.94Мб |
| 011 VIF and Correlation Plots.mp4.vtx |
461.97Кб |
| Bonus Resources.txt |
357б |
| Get Bonus Downloads Here.url |
183б |