Alternatives and similar repositories for 2020-CS109B:

Users that are interested in 2020-CS109B are comparing it to the libraries listed below

• Harvard-IACS / 2020-CS109A
  ☆114Updated 3 years ago
• CarloLepelaars / stats_tutorial
  A gentle tutorial to essential concepts in statistics.
  ☆14Updated 6 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 5 years ago
• xia0nan / MITx-6.431x
  Probability - The Science of Uncertainty and Data
  ☆33Updated 6 years ago
• gedeck / dmba
  Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"
  ☆76Updated last year
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆117Updated 7 months ago
• shilpa9a / Introduction_to_statistical_learning_summary_python
  Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
  ☆176Updated 9 months ago
• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆147Updated 4 years ago
• VSerpak / DSE210x-Statistics-and-Probability-in-Data-Science-using-Python
  UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python
  ☆60Updated 7 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• Harvard-IACS / 2019-CS109A
  https://harvard-iacs.github.io/2019-CS109A/
  ☆548Updated 5 years ago
• KellyHwong / MIT-ML
  MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning
  ☆16Updated 5 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆73Updated 6 years ago
• jcrouser / islr-python
  ☆107Updated 3 years ago
• mGalarnyk / DataScienceInterview
  Interview stuff for friends
  ☆84Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆78Updated last year
• Pierian-Data / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆85Updated 8 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆62Updated 4 years ago
• Harvard-IACS / 2020-S109A
  ☆19Updated 4 years ago
• briandalessandro / PythonDataScienceHandbook
  Jupyter Notebooks for the Python Data Science Handbook
  ☆20Updated 8 years ago
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆93Updated 2 years ago
• cs109 / 2018-cs109a
  Official Public site for CS109a Fall 2018
  ☆34Updated 6 years ago
• PacktPublishing / Machine-Learning-Algorithms-Second-Edition
  Machine Learning Algorithms Second Edition, published by Packt
  ☆62Updated last year
• leomiolane / linalg-for-ds
  Linear Algebra and Optimization for Data Science
  ☆24Updated 4 years ago
• sakimarquis / Mooc
  The MOOCs I learnt myself. The repo is kept as a record for myself.
  ☆8Updated 2 years ago
• Harvard-IACS / 2021-CS109B
  ☆47Updated 2 years ago
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆71Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 2 years ago
• davidrosenberg / ttml2021fall
  DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)
  ☆46Updated last year