Alternatives and similar repositories for Introduction_to_statistical_learning_summary_python

Users that are interested in Introduction_to_statistical_learning_summary_python are comparing it to the libraries listed below

• tfolkman / byu_econ_applied_machine_learning
  The course work for the applied machine learning course I am teaching at BYU
  ☆136Updated 5 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆117Updated 7 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆246Updated 3 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• AllenDowney / ElementsOfDataScience
  An introduction to data science in Python, for people with no programming experience.
  ☆453Updated 5 months ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆203Updated 3 years ago
• Harvard-IACS / 2020-CS109A
  ☆115Updated 3 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…
  ☆419Updated last month
• kaburelabs / Datacamp-Courses
  Some of my notebooks of Datacamp courses.
  ☆132Updated 5 years ago
• MrGeislinger / flatiron-school-data-science-curriculum-resources
  Lesson material on data science and machine learning topics/concepts
  ☆152Updated 4 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆550Updated 3 years ago
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆96Updated 3 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• hadrienj / essential_math_for_data_science
  Data for the book Essential Math for Data Science
  ☆46Updated 5 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆346Updated 3 years ago
• Pierian-Data / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆86Updated 9 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• pdeguzman96 / data_cleaning_workshop
  Created the contents of this repo originally for a workshop I gave at UCLA
  ☆112Updated 5 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆294Updated 5 years ago
• jjw244 / UCSanDiegoX-DSE200x-Python-for-Data-Science
  UCSandDiego Micro Masters Program
  ☆36Updated 7 years ago
• norbert-gaulia / Data-Science-Books
  ☆115Updated 7 years ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆120Updated last year
• mattharrison / ml_pocket_reference
  Resources for Machine Learning Pocket Reference
  ☆267Updated 4 years ago
• broepke / UCSanDiegoX
  Data Science MicroMasters Program from UC San Diego on edX
  ☆20Updated 5 years ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆443Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• 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
• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 4 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆344Updated last year
• aamirkhan647 / DataCamp-Notes
  ☆78Updated 6 years ago