Alternatives and similar repositories for ML-Course-Solutions

Users that are interested in ML-Course-Solutions are comparing it to the libraries listed below

• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆574Updated 5 years ago
• jcrouser / islr-python
  ☆110Updated 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…
  ☆418Updated last month
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆939Updated 2 years ago
• JWarmenhoven / Coursera-Machine-Learning
  Coursera Machine Learning - Python code
  ☆866Updated 5 years ago
• Harvard-IACS / 2020-ComputeFest
  ☆48Updated 5 years ago
• goodhamgupta / maths-for-ml
  Notes and solutions for the Mathematics for Machine Learning Specialization
  ☆80Updated 6 years ago
• tuanavu / coursera-university-of-washington
  University of Washington
  ☆326Updated 8 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆117Updated 7 years ago
• knathanieltucker / data-science-foundations
  ☆87Updated 2 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 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
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆680Updated last year
• knathanieltucker / bit-of-data-science-and-scikit-learn
  Youtube tutorial associated content
  ☆126Updated 6 years ago
• Benlau93 / Machine-Learning-by-Andrew-Ng-in-Python
  Documenting my python implementation of Andrew Ng's Machine Learning course
  ☆312Updated 6 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆201Updated 3 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆901Updated 4 years ago
• limberc / deeplearning.ai
  ☆218Updated 7 years ago
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆96Updated 3 years ago
• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆150Updated 5 years ago
• SebastianMantey / Decision-Tree-from-Scratch
  ☆113Updated 4 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆761Updated 4 years ago
• drivendataorg / box-plots-sklearn
  An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
  ☆298Updated 6 years ago
• hhaji / Deep-Learning
  Course: Deep Learning
  ☆194Updated last year
• jeffheaton / jh-kaggle-util
  Jeff Heaton's Kaggle Utilities
  ☆281Updated 5 years ago
• clair513 / Seaborn-Tutorial
  This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their caree…
  ☆195Updated 5 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆491Updated 6 years ago