Step 1 Data Preprocessing

Import the necessary libraries and load the dataset

Dropping the unnecessary columns from the dataset

Encoding the categorical variables

Handling the missing variables

Scaling the numerical variables

Step 2 Splitting the data into training and testing tests

Import the necessary libraries first

Splitting the data into training and testing tests

Step 3 Training the base models

Import the necessary libraries first

Training the base models