A project template that you can use in your Machine Learning Projects.
Feel free to add anything you feel I missed in here or should be mentioned.
- a) Load libraries
- b) Load dataset
- a) Descriptive statistics
- b) Data visualizations
- a) Data Cleaning
- b) Feature Selection
- c) Data Transforms
- a) Split-out validation dataset
- b) Test options and evaluation metric
- c) Spot Check Algorithms
- d) Compare Algorithms
- a) Algorithm Tuning
- b) Ensembles
- a) Predictions on validation dataset
- b) Create standalone model on entire training dataset
- c) Save model for later use
- a) Create an API to access the saved model