This is a Machine Learning Project. Our goal is to build a model that will be able to predict a rating for a book, depending on various features.

First import the package of requirements.txt

You can run the notebook Feature_engineering_and_Training.ipynb to see our results.

The original database is saved in the folder Initial DB. The additional databases are saved in the folder Feature DB.

The DataSets are improved in place, so the CSVs already have the good shape to run the notebook, it is also an important choice because the additional datasets were too big for being added on github, so we needed to have them restricted only to the rows that we need.

Link to GitHub: https://github.com/Nathan2BLK/DSTI-Project-Machine-Learning-with-Python-Labs.git