Alternatives and similar repositories for nyu-ml-course-ds-ga-1003

Users that are interested in nyu-ml-course-ds-ga-1003 are comparing it to the libraries listed below

• ZhuoruLin / DSGA1003_ML
  NYU Data Science Course DSGA-1003 Machine Learning Assignments.
  ☆31Updated 8 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆293Updated 7 years ago
• stasi009 / TakeHomeDataChallenges
  My solution to the book <A collection of Data Science Take-home Challenges>
  ☆980Updated 2 years ago
• eliekawerk / DS-Take-Home
  My solution to the book A Collection of Data Science Take-Home Challenges
  ☆25Updated 7 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆574Updated last year
• kuhung / machine-learning-systems-design
  机器学习系统设计案例与测试 Machine Learning Systems Design Cases & Tests
  ☆105Updated 3 months ago
• feng-li / Distributed-Statistical-Computing
  Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)
  ☆108Updated last year
• JifuZhao / DS-Take-Home
  My solution to the book A Collection of Data Science Take-Home Challenges
  ☆1,701Updated 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
  ☆902Updated 4 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆299Updated 5 years ago
• ikinsella / AdvML-Fall-18
  A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.
  ☆33Updated 6 years ago
• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆130Updated 3 years ago
• talwarabhimanyu / my-solutions-The-Elements-of-Statistical-Learning
  My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
  ☆90Updated 6 years ago
• mohitzsh / ML-Interview
  Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
  ☆312Updated 3 years ago
• nancyyanyu / machine_learning_study_notes
  Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…
  ☆14Updated 5 years ago
• michaelmiaomiao / Data-Science
  DATA SCIENCE resource from my past collections
  ☆18Updated last year
• chansonZ / book-ml-sem
  《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering
  ☆186Updated 2 years ago
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆154Updated 5 years ago
• jxzly / Kaggle-American-Express-Default-Prediction-1st-solution
  ☆235Updated 2 years ago
• davidrosenberg / ttml2021
  Course materials for DSGA 3001: Tools and Techniques for Machine Learning (Spring 2021)
  ☆36Updated 3 years ago
• kwaiDA / KwaiSurvival
  ☆72Updated 4 years ago
• JifuZhao / 120-DS-Interview-Questions
  My Answer to 120 Data Science Interview Questions
  ☆504Updated 4 years ago
• nyutian / DSGA-1003
  NYU DSGA 1003 Homework
  ☆12Updated 6 years ago
• Relph1119 / statistical-learning-method-camp
  统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp
  ☆196Updated 2 years ago
• ys1305 / ML-hand
  各种机器学习算法的手写实现
  ☆20Updated 6 years ago
• MengjieWang-IS / Data_Science_in_Python
  ☆22Updated 6 years ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆217Updated 2 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆162Updated 2 years ago
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆177Updated 8 months ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago