Harvard-IACS / 2020-CS109BLinks
☆54Updated 5 years ago
Alternatives and similar repositories for 2020-CS109B
Users that are interested in 2020-CS109B are comparing it to the libraries listed below
Sorting:
- ☆78Updated 6 years ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆60Updated 7 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆67Updated 6 years ago
- ☆133Updated last year
- Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics☆35Updated 3 years ago
- Applied Probability Theory for Everyone☆121Updated last year
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆75Updated 6 years ago
- ☆119Updated 3 years ago
- ☆62Updated 6 years ago
- Machine learning fundamentals lesson in interactive notebooks☆180Updated 4 years ago
- Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)☆61Updated 8 years ago
- Mastering Machine Learning Algorithms Second Edition, published by Packt☆64Updated 4 years ago
- A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…☆63Updated 5 years ago
- Course material for Business Analytics in Practice - IS833☆64Updated last year
- Solutions to the exercises in Grinstead and Snell's Introduction to Probability☆92Updated 2 years ago
- Repository for CS282R: Robust Machine Learning at Harvard University.☆73Updated 7 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆86Updated 9 years ago
- Data Science Portfolio☆74Updated 5 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆188Updated last year
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Some fundamental machine learning and data-analysis techniques are explained through realistic examples.☆123Updated last year
- A club to keep learning about ML☆91Updated 4 years ago
- Walkthrough notebooks for Deep Learning, Machine Learning, Reinforcement Learning, Spark, Statistics, Algorithms, Scala, Python☆71Updated 2 years ago
- Notes from Introduction to Statistical Learning☆118Updated 7 years ago
- Python script to pull machine learning flashcards from Chris Albon's twitter feed☆81Updated 6 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- Statistics for Machine Learning, published by Packt☆161Updated 2 years ago
- Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"☆79Updated last year
- Applied Machine Learning with Python☆80Updated last year
- Interview stuff for friends☆84Updated 2 years ago