PREPROCESSING DATA USING PYTHON FOR HANDLING MISSING VALUES

Data set that we used from www.openml.org/d/451 and the title is irish.csv Data set is consist of 500 records and 6 attributes and the attributes doesnt have similiar type. Preprocessing data consist of 5 steps, which is:

1. Data Cleaning
2. Binarization
3. Encoding Categorical Features
4. Feature Creation
5. Equal Interval