shenxiangzhuang / nyu-ml-course-ds-ga-1003Links
DS-GA 1003[Spring 2019]
☆11Updated 5 years ago
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
Sorting:
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆293Updated 7 years ago
- Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)☆108Updated last year
- My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.☆91Updated 6 years ago
- My solution to the book A Collection of Data Science Take-Home Challenges☆24Updated 7 years ago
- NYU Data Science Course DSGA-1003 Machine Learning Assignments.☆31Updated 8 years ago
- 机器学习系统设计案例与测试 Machine Learning Systems Design Cases & Tests☆108Updated 5 months ago
- Ensemble learning related books, papers, videos, and toolboxes☆301Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆302Updated 6 years ago
- My solution to the book <A collection of Data Science Take-home Challenges>☆984Updated 3 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 6 years ago
- A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.☆33Updated 6 years ago
- NYU DSGA 1003 Homework☆12Updated 6 years ago
- 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
- My personal projects. Check them out!☆24Updated 3 years ago
- Linear Algebra and Optimization for Data Science☆24Updated 4 years ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆315Updated 3 years ago
- EconML/CausalML KDD 2021 Tutorial☆163Updated 2 years ago
- ☆284Updated 3 years ago
- Feature Engineering Made Easy, published by Packt☆216Updated 2 years ago
- Solution for Kaggle competition - Home-Credit-Default-Risk☆14Updated 6 years ago
- DATA SCIENCE resource from my past collections☆18Updated last year
- A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!☆670Updated 4 years ago
- My Answer to 120 Data Science Interview Questions☆503Updated 5 years ago
- interpretable-ml-book中文翻译☆138Updated 4 years ago
- Python implementations (on jupyter notebook) of algorithms described in the book "PRML"☆259Updated 4 years ago
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆133Updated 3 years ago
- A practical feature engineering handbook☆333Updated 5 years ago
- Course materials for DSGA 3001: Tools and Techniques for Machine Learning (Spring 2021)☆36Updated 3 years ago
- 2nd Place Solution 💰🥈☆163Updated 2 years ago
- ☆14Updated 6 years ago