Alternatives and similar repositories for 2021-CS109B

Users that are interested in 2021-CS109B are comparing it to the libraries listed below

• Harvard-IACS / 2020-CS109A
  ☆114Updated 3 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…
  ☆272Updated 4 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆246Updated 3 years ago
• Harvard-IACS / 2021-CS109A
  ☆139Updated 3 years ago
• rasbt / stat451-machine-learning-fs21
  ☆150Updated 3 years ago
• Harvard-IACS / 2020-CS109B
  ☆54Updated 5 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆462Updated 2 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆208Updated 3 weeks ago
• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆352Updated 5 years ago
• lmassaron / deep_learning_for_tabular_data
  A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras
  ☆45Updated 2 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆343Updated 4 years ago
• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆148Updated 4 years ago
• benthecoder / ml-blogs-that-are-worth-reading
  Blogs on Machine Learning and Deep learning
  ☆111Updated 3 years ago
• solegalli / hyperparameter-optimization
  Code repository for the online course Hyperparameter Optimization for Machine Learning
  ☆123Updated 8 months ago
• PacktPublishing / The-Kaggle-Workbook
  Code Repository for The Kaggle Workbook, Published by Packt
  ☆119Updated 3 weeks 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
  ☆887Updated 3 years ago
• jessicayung / machine-learning-flashcards
  Machine learning flashcards
  ☆221Updated 3 years ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆178Updated 6 months ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• Harvard-IACS / 2020F-AC295
  This repository contains materials for AC295 fall 2020
  ☆19Updated 4 years ago
• Brandon-HY-Lin / coursera_How-to-Win-a-Data-Science-Competition-Learn-from-Top-Kagglers
  Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
  ☆145Updated 5 years ago
• hoangnguyen7699 / StatisticsForApplication_solution
  ☆62Updated 2 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆197Updated 2 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…
  ☆412Updated 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.
  ☆180Updated 10 months ago
• tensorchiefs / dl_book
  legend
  ☆202Updated last year
• rasbt / stat453-deep-learning-ss20
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
  ☆571Updated 5 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆86Updated 2 years ago