Data Preprocessing

Data Pre-processing Steps

1. Import Libraries
2. Importing the Dataset
3. Missing Data
4. Categorical Data
5. Spiting Data to Training set & Test set
6. Feature Scaling

Clean data after splitting train and test.

Impute the missing value of the train data with the mean of the train data. Impute the missing value of the test data with the mean of the train data.

Do not let the test set influence the train set.