knakamura13 / cs7641-ml-study-materials-2023Links
A collection of study materials for OMSCS CS7641 Machine Learning.
☆104Updated last year
Alternatives and similar repositories for cs7641-ml-study-materials-2023
Users that are interested in cs7641-ml-study-materials-2023 are comparing it to the libraries listed below
Sorting:
- ML Companies Tier List and Interview Questions☆195Updated 3 months ago
- In this repository, I will publish my notes for GaTech's Machine Learning course CS7641.☆222Updated 4 years ago
- The repository is to document skills that a data scientist needs to acquire☆19Updated 2 months ago
- ☆131Updated 2 years ago
- The raw markdown notes for OMSCS Notes.☆173Updated last year
- Automate the process of downloading, cleaning, and saving ML datasets from Huggingface and the UCI ML Repository.☆17Updated last year
- Unofficial FAQ for Gatech's CS6515☆79Updated last year
- This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.☆174Updated last year
- A concise and comprehensive A to Z curriculum for machine learning.☆72Updated last year
- Notes from various courses in OMSCS program for reference only. For obvious reasons, no non-public coursework or materials exist in this …☆152Updated last year
- so much room for activities☆30Updated 3 months ago
- CS229 Solution (summer 2019, 2020).☆18Updated last year
- ☆126Updated 9 months ago
- Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022☆529Updated 2 years ago
- Up-to-date version of labs for ISLP☆1,142Updated 6 months ago
- Collection of important articles to be treated as a textbook☆818Updated 2 months ago
- Landmark Papers in Machine Learning☆678Updated 2 months ago
- A highly optimized fork of the popular mlrose-hiive package. For Machine Learning, Randomized Optimization and SEarch algorithms.☆30Updated 5 months ago
- Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.☆95Updated 7 months ago
- ☆67Updated last year
- ☆66Updated 2 years ago
- Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)☆3,704Updated last week
- ☆201Updated 3 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆250Updated 4 years ago
- Collection of my assignments and work in the class MATH51 at Stanford☆103Updated 10 years ago
- ☆311Updated 3 years ago
- ☆269Updated 4 months ago
- Joyner Document Format official☆194Updated 2 years ago
- Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps☆283Updated last month
- Notes for CS6750 to help future students!☆52Updated 4 years ago