rebecca-vickery/data-science-learning-resources
A comprehensive list of free resources for learning data science
repo name | rebecca-vickery/data-science-learning-resources |
repo link | https://github.com/rebecca-vickery/data-science-learning-resources |
homepage | |
language | |
size (curr.) | 10 kB |
stars (curr.) | 248 |
created | 2020-05-30 |
license | Creative Commons Zero v1.0 Universal |
Data Science Learning Resources
A comprehensive list of free resources for learning data science.
Python
Courses/Tutorials
- Datacamp selected free courses.
- Dataquest free trial.
- A really good tutorial on OOP for data science.
Books
- The Hitchhiker’s Guide to Python.
- Automate the Boring Stuff with Python.
- Python for Everybody.
- Python Data Science Handbook.
- Introduction to Machine Learning with Python.
Machine Learning
Courses/Tutorials
- Google’s machine learning crash course.
- Scikit-learn workshop material by Andreas Mueller, core contributor to Scikit-learn.
- Applied machine Learning material from Columbia University.
- Machine learning with python github repo with numerous tutorials.
- Notes on data science & machine learning by Chris Albon.
- Machine lerning (theory) flashcards by Chris Albon.
- Introduction to Machine Learning with Scikit-learn.
Books
- Natural Language Processing with Python.
- Hands on Machine Learning with Scikit-learn and Tensorflow.
- A curated list of widely cited papers on machine learning.
Deep Learning
Courses/Tutorials
- FastAI practical deep learning for coders.
Books
Maths & Statistics
Courses/Tutorials
Books
- Practical Statistics for Data Scientists.
- Think Stats.
- Bayesian Methods for Hackers.
- Statistics in Plain English.
- Computer Age Statistical Inference.
Data Engineering
- Machine learning system design - data engineering, Stanford lecture notes by Chip Huyen.