Define a problem
by Harendra Kumar
1. Pre-process the data
2. Visualize the data
3. Set Project Environment
4. Build model
5. Evaluate the Model
6. Model Application
7. Split the data for test & training
8. Explorer the Data
9. Select An algorithm
10. Train The Model
11. Fine Tune the Model
