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Machine Learning for Beginners

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

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Machine Learning with Python

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