| FileName | Description | Video |
|---|---|---|
| - | 01 - Regression in 8 minutes | 01 - Regression in 8 minutes |
| 01 - LinearRegression | 02 - Simple and Multiple Regression in Python in 8 mins | 02 - Simple and Multiple Regression in Python in 8 mins |
| 02 - LinearRegression Boston | 03 - Multiple Linear Regression and Feature Interaction in 10 minutes | 03 - Multiple Linear Regression and Feature Interaction in 10 minutes |
| - | 04 - Decision Trees [ Regression ] in 6 minutes | 04 - Decision Trees [ Regression ] in 6 minutes |
| 03- house-sales-decision-trees | 05 - Decision Trees [ Regression ] in Python in 7 mins | 05 - Decision Trees [ Regression ] in Python in 7 mins |
| - | 06 - Concept of Cross Validation in 3 minutes | 06 - Concept of Cross Validation in 3 minutes |
| 04 - house-sales-regularized-linear-models.ipynb | 07 - Penalized Regression Models in 11 minutes | 07 - Penalized Regression Models in 11 minutes |
| 05 -Missing Values and Linear Regression.ipynb | 08 - Handle Missing Values and Linear Regression [ Very Simple Approach ] in 6 minutes | 08 - Handle Missing Values and Linear Regression [ Very Simple Approach ] in 6 minutes |
| 06 - RandomForest.ipynb | 09 - Random Forest in 4 minutes | 09 - Random Forest in 4 minutes |
| 07 - Categorical Variables-RandomForest.ipynb | 10 - Categorical Variables and RandomForest in 10 minutes | 10 - Categorical Variables and RandomForest in 10 minutes |
| 08 - Pipelines.ipynb | ||
| 09 - Pipelines and Random Forests.ipynb | 11 - Pipelines and Transformers in 7 minutes | 11 - Pipelines and Transformers in 7 minutes |
| 12 - Boosting in 4 minutes | 12 - Boosting in 4 minutes | |
| 13 - LogisticRegression and Classification in 8 minutes | 13 - LogisticRegression and Classification in 8 minutes |