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:
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- Applied Probability Theory for Everyone☆120Updated last year
- ☆117Updated 3 years ago
- ☆78Updated 6 years ago
- Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)☆61Updated 8 years ago
- ☆133Updated last year
- ☆154Updated last week
- Mastering Machine Learning Algorithms Second Edition, published by Packt☆64Updated 4 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆74Updated 6 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆67Updated 6 years ago
- ☆62Updated 6 years ago
- ☆115Updated 7 years ago
- Jupyter Notebooks for the Python Data Science Handbook☆20Updated 8 years ago
- Interview stuff for friends☆84Updated 2 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆60Updated 7 years ago
- Present your data as an effective and compelling story☆111Updated 5 years ago
- Course syllabus, notes, projects for USF's MSDS689☆62Updated last year
- Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"☆79Updated last year
- The course work for the applied machine learning course I am teaching at BYU☆136Updated 5 years ago
- 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
- Machine Learning Algorithms Second Edition, published by Packt☆67Updated last year
- Machine learning fundamentals lesson in interactive notebooks☆179Updated 4 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
- Deep Learning From Scratch☆139Updated 2 years ago
- Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn [Video], published by Packt☆56Updated last week
- Data Science Portfolio☆74Updated 4 years ago
- Hands-On Statistics for Data Science, published by Packt☆34Updated last week