Machine Learning

1. 1
Importing libraries

2. 2
Importing the dataset

3. 3
Extracting the numerical features

4. 4
Creating the plots for data visualization

5. 5
Dropping useless columns

6. 6
Data normalization

7. 7
Training set and test set split

8. 8
Model creation and training

9. 9
Model evaluation