charlieblue17 / pTSAFall2018Links
DS-GA 3001.001/.002 Probabilistic time series analysis Fall 2018
☆15Updated 7 years ago
Alternatives and similar repositories for pTSAFall2018
Users that are interested in pTSAFall2018 are comparing it to the libraries listed below
Sorting:
- Machine learning course materials.☆577Updated 2 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆293Updated 7 years ago
- NYU Data Science Course DSGA-1003 Machine Learning Assignments.☆30Updated 8 years ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆318Updated 3 years ago
- 1st Place submission in the annual Citadel SoCal Data Open☆25Updated 7 years ago
- Course page for DS-GA 3001.001 Modeling Time Series Data☆43Updated 7 years ago
- Linear Algebra and Optimization for Data Science☆24Updated 5 years ago
- My solution to the book A Collection of Data Science Take-Home Challenges☆24Updated 7 years ago
- My solution to the book <A collection of Data Science Take-home Challenges>☆985Updated 3 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 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
- Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering☆272Updated 5 years ago
- Data Science Take Home Challenges☆12Updated 7 years ago
- My Answer to 120 Data Science Interview Questions☆503Updated 5 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆904Updated 4 years ago
- My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller☆252Updated 6 years ago
- Experimentation for Engineers (Manning, 2023)☆17Updated 3 years ago
- Course materials for DSGA 3001: Tools and Techniques for Machine Learning (Spring 2021)☆36Updated 4 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
- ☆16Updated 9 years ago
- ☆22Updated 6 years ago
- Python implementations (on jupyter notebook) of algorithms described in the book "PRML"☆259Updated 4 years ago
- DS-GA 1003[Spring 2019]☆11Updated 5 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆756Updated 4 years ago
- Preparation material and resources for the ML (including DL) and Quant Research interviews☆143Updated 5 years ago
- A collection of take home data science challenges practice☆17Updated 6 years ago
- Algorithmic Trading Challenge implemented as part of the term project for Foundations of Machine Learning at NYU Courant in Fall 2016 (ht…☆27Updated 4 years ago
- ☆61Updated 6 years ago
- Homework for Baruch C++ Programming for Financial Engineering Course☆32Updated 5 years ago
- My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.☆78Updated 6 years ago