Data-Preprocessing-using-Python
This template cleans data and make's it ready to be used in a machine learning algorithm. It performs the following steps in order:
- Imports required libraries
- Takes care of missing data by replacing it with mean value
- Encodes categorical data in the form of 1's and 0's
- Splits the data into training set and test set
- Applies feature scalling to training and test set.