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https://github.com/jalvarezz13/machine_learning_esi_2122

Trabajo realizado para la asignatura de Machine Learning de la Escuela Superior de Informática.
https://github.com/jalvarezz13/machine_learning_esi_2122

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Trabajo realizado para la asignatura de Machine Learning de la Escuela Superior de Informática.

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README

        

# Machine Learners
## Content
In this repository you can find three different machine learning techniques. For Unsupervised Learning, Clustering, and for Supervised Learning, Classification and Regression. These techniques has been used to solved different real life problems (which will be described in their corresponding sections)
So, if you want to look how these techniques has been used, go to the corresponding colab files.

## Technologies
![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)
![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge&logo=pandas&logoColor=white)
![scikit-learn](https://img.shields.io/badge/scikit--learn-%23F7931E.svg?style=for-the-badge&logo=scikit-learn&logoColor=white)
![Plotly](https://img.shields.io/badge/Plotly-%233F4F75.svg?style=for-the-badge&logo=plotly&logoColor=white)
![NumPy](https://img.shields.io/badge/numpy-%23013243.svg?style=for-the-badge&logo=numpy&logoColor=white)
![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23FA0F00.svg?style=for-the-badge&logo=jupyter&logoColor=white)
## Authors

Javier Álvarez Páramo  

Sergio Martín-Delgado Gutierrez 

Sergio Silvestre Pavón  

Josué Carlos Zenteno Yave