amueller / COMS4995-s20

Related projects: ⓘ

• amueller / aml
  Applied Machine Learning with Python
  ☆76Updated 5 months ago
• jessicayung / machine-learning-flashcards
  Machine learning flashcards
  ☆215Updated 2 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 2 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 3 weeks ago
• adijo / data-science-prep
  Problems from https://datascienceprep.com/
  ☆117Updated 3 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆513Updated 5 years ago
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆556Updated 4 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆78Updated last month
• gmaclenn / ml-flashcards-python
  Python script to pull machine learning flashcards from Chris Albon's twitter feed
  ☆75Updated 5 years ago
• jcrouser / islr-python
  ☆106Updated 3 years ago
• rasbt / stat451-machine-learning-fs21
  ☆144Updated 2 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆302Updated 4 years ago
• pdeguzman96 / data_cleaning_workshop
  Created the contents of this repo originally for a workshop I gave at UCLA
  ☆110Updated 4 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆139Updated 4 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆162Updated 4 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆268Updated 2 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 5 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆189Updated 2 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆206Updated 2 years ago
• Imperial-College-Data-Science-Society / Cracking-the-Data-Science-Interview
  A list of resources for our society members who have upcoming interviews!
  ☆94Updated 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…
  ☆404Updated 2 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…
  ☆247Updated 3 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆125Updated 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.
  ☆167Updated last month
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆126Updated last year
• Machine-Learning-Tokyo / Math_resources
  ☆341Updated 4 years ago
• reachsumit / digital-data-scientist-hiring-test-powered-by-hackerrank
  ☆126Updated this week
• bgweber / DS_Production
  ☆155Updated 3 years ago
• knathanieltucker / data-science-foundations
  ☆87Updated last year
• jayinai / ml-cheatsheet
  A constantly updated python machine learning cheatsheet
  ☆166Updated 7 years ago