Alternatives and similar repositories for COMS4995-s20

Users that are interested in COMS4995-s20 are comparing it to the libraries listed below

• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆574Updated 5 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• jessicayung / machine-learning-flashcards
  Machine learning flashcards
  ☆221Updated 4 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.
  ☆185Updated last year
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆541Updated 6 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆270Updated 3 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated 6 months ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆118Updated 7 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆394Updated 3 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆346Updated 5 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• gmaclenn / ml-flashcards-python
  Python script to pull machine learning flashcards from Chris Albon's twitter feed
  ☆81Updated 6 years ago
• adijo / data-science-prep
  Problems from https://datascienceprep.com/
  ☆124Updated 4 years ago
• jcrouser / islr-python
  ☆110Updated 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
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆757Updated 4 years ago
• pdeguzman96 / data_cleaning_workshop
  Created the contents of this repo originally for a workshop I gave at UCLA
  ☆112Updated 5 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 6 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 week
• abhishekkrthakur / mlframework
  ☆203Updated last year
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated 2 years ago
• brohrer / academic_advisory
  Collected opinions and advice for academic programs focused on data science skills.
  ☆440Updated 5 years ago