champs-elysees-flow-forecasting

This machine learning project deals with the forecasting of the flow of people and occupancy rate of the Champs Elysées over 7 days.

The training data is the official data of the city of Paris, for the year 2022. Weather data is also joined to the dataframe.

In this notebook, we will see :

1. Date preprocessing (youhou who doesn't love handling dates ? #TeamUTC+1)
2. EDA for categorical and continuous features
3. Feature engineering on dates, encoding, scaling, etc... aka preprocessing <3
4. Machine Learning models selection, tuning and even discovering Facebook's Prophet Model
5. Forecasting and plotting for the next week the results.