This repository is about books ratings. A machine learning project.
Step 1 : Problem understanding
- hypothesis generation.
Step 2 : Data wrangling
Step 3 : EDA
- data inspection
- data visualization
Step 4 : Features engineering
Step 5 : Modelling and Machine learning
Step 6 : models evaluation and selection
Step 7 : model tuning
Step 8 : model Performance.
- hypothesis confirmation.
Step 9 : Summary.
Step 10 : Discussion