This repository contains the exercises done in the Data Analytics bootcamp, in the pair programming mode, solved by the students Marina Ferreras and Natalia García. In this module we have learned basic notions about Machine Learning, specifically about supervised learning models: Linear Regressions and Logistic Regressions. This is how the repository is organized, in two folders. Here the libraries 📖 that we have used:

- SickitLearn 

- Scipy

- Imblearn

- Researchpy

- Pandas

- Matplotlib 

- Seaborn

- Numpy