Referencias

🎓 Cursos recomendados

Python
- snakify.org: Curso de Python con ejercicios auto-corregibles.
Numpy
- Guía ilustrada de Numpy
- 100 ejercicios de Numpy
Pandas
- 100 ejercicios de Pandas
Machine Learning
- Kaggle learn (fácil)
- Mlcourse.ai (avanzado) ⭐
- Coursera: How to Win a Data Science Competition: Learn from Top Kagglers (avanzado)
- Made With ML
  - Machine Learning Basics
  - Applied ML in Production
Deep Learning
- deepcourse: Very good DL for vision course
- Andrew Ng Coursera Deep Learning
- Fast.ai
  - Curso 2020 de Deep Larning: Solo parte 1 debido al covid ⭐
  - Curso 2019 de Deep Larning: Parte 1 (fácil) y 2 (avanzado) ⭐
  - Curso 2018 de Machine Larning
  - Walk with fastai extra notebooks by Zachary Mueller ⭐
- Full Stack Deep Learning (Free course)
  - Spring 2021 (UC Berkeley)
  - November 2019 (bootcamp)
- PyTorch Lightning MasterClass (youtube playlist)
Kaggle past solutions
- Kaggle Solutions by Farid Rashidi ⭐
- Kagoole ⭐
- KaggleDB solutions ⭐
- Kaggle Past Solutions last update at 2019
- Kaggle - Classification last update at 2016
- Kaggle Competition Past Solutions last update at 2014

Approaching (Almost) Any Machine Learning Problem de Abhishek Thakur, que además tiene canal de Youtube
The hundred-page machine learning book de Andriy Burkov
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD de Jeremy Howard, disponible en Github
Libro en Español Introducción al DL con Keras
https://atcold.github.io/pytorch-Deep-Learning/
Neural Networks from Scratch