Yang's repositories
numpy-100
100 numpy exercises (100% complete)
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
models
Models built with TensorFlow
Deep-Learning-Papers-Reading-Roadmap
Deep Learning paper list for beginners
google-interview-university
A complete daily plan for studying to become a Google software engineer.
MIDDLE
Draft R package for MIDDLE
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
Web_scraping
web scraping projects
jmsteinw.github.io
My Data Science website
notes-machine-learning
My Notes on Machine Learning
scikit-learn
scikit-learn: machine learning in Python
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
DataScienceResources
Open Source Data Science Resources.
free-data-science-books
Free resources for learning data science
blog
Some notes on things I find interesting and important.
CLRS
:notebook:Solutions to Introduction to Algorithms
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
fastdropout
code for fast dropout
ML-Systems
papers on large-scale machine learning and systems
rappor
RAPPOR: Privacy-Preserving Reporting Algorithms
ctci_v6
Cracking the Coding Interview 6th edition problems
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Examples
Various examples for different articles
CS229_Notes
All of the lecture notes from CS229: Machine Learning
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Books
无它术，唯勤读书而多为之，自工