This project is divided in 2 parts
- Introduction & the exploratory data analysis and data preparation (context, use case business, data viz, features engineering...)
- Predictions with ML and deep learning models : linear regressors, SVM (with 2 different kernels), random forest, Gradient Boosting Regressors, RNN including a GRU.