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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 |
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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 |
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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 |
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| 09 - Pipelines and Random Forests.ipynb |
11 - Pipelines and Transformers in 7 minutes |
11 - Pipelines and Transformers in 7 minutes |
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12 - Boosting in 4 minutes |
12 - Boosting in 4 minutes |
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13 - LogisticRegression and Classification in 8 minutes |
13 - LogisticRegression and Classification in 8 minutes |