Alternatives and similar repositories for 2020-CS109B

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

• xia0nan / MITx-6.431x
  Probability - The Science of Uncertainty and Data
  ☆33Updated 3 weeks 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.
  ☆181Updated 11 months ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆117Updated 9 months ago
• jadoonengr / DataCamp-Notes
  ☆78Updated 6 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
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 3 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• briandalessandro / PythonDataScienceHandbook
  Jupyter Notebooks for the Python Data Science Handbook
  ☆20Updated 8 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆62Updated 4 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆117Updated 7 years ago
• brainy749 / CreditRiskPaper
  Codes for replication and implementation of techniques in our credit risk article
  ☆34Updated 6 years ago
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 4 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• KellyHwong / MIT-ML
  MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning
  ☆16Updated 5 years ago
• tfolkman / byu_econ_applied_machine_learning
  The course work for the applied machine learning course I am teaching at BYU
  ☆136Updated 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
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• Harvard-IACS / 2020-CS109A
  ☆114Updated 3 years ago
• mGalarnyk / DataScienceInterview
  Interview stuff for friends
  ☆84Updated 2 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• nishadhka / Learning-Calculus-with-Python
  ☆44Updated 5 years ago
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆72Updated 7 years ago
• yeseullee / Data-science-design-manual-notebooks
  Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)
  ☆61Updated 8 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 4 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• khanhnamle1994 / data-mining
  Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
  ☆86Updated 7 years ago
• econcarol / ISLR
  R and Python solutions to applied exercises in An Introduction to Statistical Learning with Applications in R (corrected 7th printing)
  ☆15Updated last month
• PacktWorkshops / The-Statistics-and-Calculus-with-Python-Workshop
  ☆145Updated last year