Stars
Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)
Notes from various courses in OMSCS program for reference only. For obvious reasons, no non-public coursework or materials exist in this repository.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
🎓 Path to a free self-taught education in Computer Science!
Productionalizing Data Pipelines with Apache Airflow
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
📊 Path to a free self-taught education in Data Science!
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
The "Python Machine Learning (1st edition)" book code repository and info resource
A Python primer for Georgia Tech's CSE 6040/x: Computing for Data Analysis
Python Data Science Handbook: full text in Jupyter Notebooks