hse-aml / competitive-data-scienceLinks
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
☆659Updated 5 years ago
Alternatives and similar repositories for competitive-data-science
Users that are interested in competitive-data-science are comparing it to the libraries listed below
Sorting:
- How to Win a Data Science Competition: Learn from Top Kagglers☆175Updated 7 years ago
- ☆85Updated 8 years ago
- A compiled list of kaggle competitions and their winning solutions for classification problems.☆273Updated 9 years ago
- Resources for "Introduction to Deep Learning" course.☆759Updated 5 years ago
- Codes for Kaggle Competitions☆517Updated 8 years ago
- Advanced Machine Learning Specialization on Coursera☆221Updated 6 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆149Updated 9 years ago
- ☆383Updated 8 years ago
- Codes related to various ML Hackathons☆211Updated 6 years ago
- Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).☆813Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 6 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆596Updated 6 years ago
- Materials for an online-course - "Practical XGBoost in Python"☆220Updated 9 years ago
- Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"☆148Updated 6 years ago
- A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning☆600Updated 7 years ago
- Data Science Questions and Answers (General) for beginner☆222Updated 8 years ago
- Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforce …☆209Updated 6 years ago
- Jeff Heaton's Kaggle Utilities☆281Updated 5 years ago
- ☆202Updated last year
- My Attempt(s) In The World Of ML/DL....☆95Updated last year
- A constantly updated python machine learning cheatsheet☆167Updated 8 years ago
- Implementing machine learning algorithms from scratch.☆388Updated 4 years ago
- University of Washington☆327Updated 8 years ago
- A set of useful tools for competitive data science.☆554Updated 3 years ago
- Public Repository for cs109a, 2017 edition☆328Updated 2 years ago
- Notes for machine learning☆219Updated 3 years ago
- Home assignments for data science positions☆154Updated 3 years ago
- Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"☆238Updated 3 years ago
- Machine Learning interview prep guide☆418Updated 5 years ago
- Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…☆438Updated 4 years ago