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

• 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…
  ☆294Updated 7 years ago
• ZhuoruLin / DSGA1003_ML
  NYU Data Science Course DSGA-1003 Machine Learning Assignments.
  ☆30Updated 8 years ago
• feng-li / Distributed-Statistical-Computing
  Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)
  ☆109Updated 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
  ☆108Updated 6 months 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.
  ☆91Updated 6 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 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
  ☆908Updated 4 years ago
• ikinsella / AdvML-Fall-18
  A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.
  ☆33Updated 7 years ago
• lujiazho / MachineLearningPlayground
  Implementation of basic mathematical pattern recognition/machine learning techniques for fun
  ☆133Updated 3 years ago
• eliekawerk / DS-Take-Home
  My solution to the book A Collection of Data Science Take-Home Challenges
  ☆24Updated 7 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆167Updated 2 years ago
• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆129Updated 3 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆304Updated 6 years ago
• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆122Updated 5 years ago
• nyutian / DSGA-1003
  NYU DSGA 1003 Homework
  ☆12Updated 6 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
• huynhe / Data-Science-Take-Home-Challenges-Collection
  Data Science Take Home Challenges
  ☆12Updated 7 years ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆252Updated 3 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆164Updated 4 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 6 years ago
• whitney218 / Data-Science-Take-Home-Challenges
  A collection of take home data science challenges practice
  ☆17Updated 6 years ago
• DSXiangLi / Paper_CausalInference_abtest
  因果推理&AB实验相关论文小书库
  ☆245Updated 2 years ago
• jlin1015 / Data-Science-Take-Home-Challenges
  ☆16Updated 6 years ago
• michaelmiaomiao / Data-Science
  DATA SCIENCE resource from my past collections
  ☆18Updated last year
• AllenCX / DS-ML-Interview-Questions
  An Personal Note for DS/ML interview questions
  ☆121Updated 7 years ago
• kwaiDA / KwaiSurvival
  ☆72Updated 4 years ago
• shree-ranga / DSTakehomeChallenges
  Solutions to the book "Collection of Data Science TakeHome Challenges" in Python.
  ☆10Updated 8 years ago
• Doraemonzzz / ML-Foundation-and-ML-Techniques
  台大机器学习课程作业详解
  ☆302Updated 6 years ago
• vivienzou1 / DL-Notes-for-Interview
  deep learning/ machine learning
  ☆366Updated 2 years ago
• leomiolane / linalg-for-ds
  Linear Algebra and Optimization for Data Science
  ☆24Updated 5 years ago