This repository contains the files of the course Data Science with Python
at UNAM (Official link at UNAM). This course is taught by the lecturer Arrigo Coen and the TA Miriam Colín. The sylabus of the course could be consulted here.
This course has 5 modules:
- Python for Data Science Overview
- Classification algorithms
- Linear, Non-linear regression and its generalizations
- Decision trees RF and XGBoost
- Neural Networks
- Pipelines
Other channels of communication of the course are:
Email: arrigo.prof@gmail.com
Official course link at UNAM: http://www.fciencias.unam.mx/docencia/horarios/presentacion/327766
Google Classroom: https://classroom.google.com/c/MjY2MjIzMzA1NDU1?cjc=yjg3xi7
GitHub: https://github.com/ArrigoCoen/Curso_Ciencia_de_Datos
Youtube: https://www.youtube.com/channel/UCpd6apa8tnfZFGW5-B4nRlw