Alternatives and similar repositories for COMS4995-s20

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

• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 4 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆314Updated 5 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 4 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆576Updated 5 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆547Updated 6 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.
  ☆188Updated last year
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆80Updated 10 months ago
• jessicayung / machine-learning-flashcards
  Machine learning flashcards
  ☆223Updated 4 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆130Updated 4 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆271Updated 4 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• brohrer / academic_advisory
  Collected opinions and advice for academic programs focused on data science skills.
  ☆439Updated 5 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…
  ☆423Updated 4 months ago
• EricSchles / datascience_book
  ☆134Updated last year
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆203Updated 3 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 6 years ago
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆394Updated 3 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆120Updated 8 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆501Updated 7 years ago
• pdeguzman96 / data_cleaning_workshop
  Created the contents of this repo originally for a workshop I gave at UCLA
  ☆111Updated 6 years ago
• adijo / data-science-prep
  Problems from https://datascienceprep.com/
  ☆123Updated 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
  ☆782Updated 5 years ago
• tfolkman / byu_econ_applied_machine_learning
  The course work for the applied machine learning course I am teaching at BYU
  ☆137Updated 5 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆617Updated 3 years ago
• abhishekkrthakur / mlframework
  ☆202Updated last year