Machine Learning Developmental Life Cycle

For development any machine learning project you can follow below life cycle:

1. Identify/Frame the problem
2. Gather or collect data
3. Data preprocessing
4. Exploratory data analysis
5. Feature engineering and selection
6. Model training, evaluation and selection
7. Testing
8. Deployment