Alternatives and similar repositories for 2020-CS109B

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

• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆116Updated 10 months ago
• JohnGiorgi / mathematics-for-machine-learning
  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…
  ☆64Updated 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
  ☆74Updated 6 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
• jadoonengr / DataCamp-Notes
  ☆78Updated 6 years ago
• mGalarnyk / DataScienceInterview
  Interview stuff for friends
  ☆84Updated 2 years ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆62Updated 4 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• Harvard-IACS / 2020-CS109A
  ☆114Updated 3 years ago
• soltaniehha / Business-Analytics
  Course material for Business Analytics in Practice - IS833
  ☆65Updated 10 months ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• lukanovak93 / advanced-machine-learning-specialization
  Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics
  ☆34Updated 2 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆73Updated 4 years ago
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 3 years 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.
  ☆182Updated last year
• parulnith / What-I-learnt-by-interviewing-numerous-Kaggle-Grandmasters
  ☆38Updated 3 years ago
• crackingthemachinelearninginterview / Cracking-The-Machine-Learning-Interview
  Code snippets for our Book solutions
  ☆44Updated 6 years ago
• suvoooo / Machine_Learning
  Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
  ☆121Updated 10 months ago
• yeseullee / Data-science-design-manual-notebooks
  Figure notebooks for "The Data Science Design Manual" (http://www.data-manual.com/)
  ☆61Updated 8 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆73Updated 7 years ago
• TrainingByPackt / Interactive-Data-Visualization-with-Python
  Present your data as an effective and compelling story
  ☆109Updated 5 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆179Updated 4 years ago
• gedeck / dmba
  Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"
  ☆78Updated last year
• Benlau93 / Data-Science-Curriculum
  Data Science Curriculum for the non-technical
  ☆81Updated 6 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 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
• LeihuaYe / Python_LeetCode_Coding
  ☆70Updated 8 months ago
• jcrouser / islr-python
  ☆110Updated 3 years ago