Alternatives and similar repositories for islr-python

Users that are interested in islr-python are comparing it to the libraries listed below

• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆105Updated 7 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆275Updated 8 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆199Updated 2 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆82Updated 8 years ago
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆155Updated 2 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• arstepanyan / Notes
  Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interv…
  ☆35Updated 4 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
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆164Updated 10 months 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
• mGalarnyk / DataScienceInterview
  Interview stuff for friends
  ☆84Updated 2 years ago
• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆148Updated 4 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• aajains / springboard-datascience-intensive
  ☆35Updated 7 years ago
• bjherger / Uber-DS-Challenge
  Uber provided Data Science take home
  ☆92Updated 8 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆180Updated 7 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• Pierian-Data / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆85Updated 8 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 8 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆116Updated 7 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆239Updated 3 weeks ago
• siddhujetty / Product-analytics-insights-collection
  My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.
  ☆78Updated 5 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆99Updated 6 years ago
• kjy / StatisticalLearning_classstuff
  Advanced Statistics, R code
  ☆8Updated 9 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 4 years ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆414Updated 3 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 4 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 6 years ago