Python data products for predictive analytics
- Data Exploration.
- Data Preparation.
- Data Visualization.
- Finding tasks for Classification and Regression.
- Feature Selection and Importance.
- Model Selection.
- Model Evaluation.
- Report classification results.
- Error calculation for regression.
- Model Boosting/ Tuning Up.