Data-Science-Competitions and kaggle_competition_solutions
About Data-Science-Competitions
the-black-knight-01/Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
This collection helps data scientists and machine learning practitioners find high-performing solutions for various real-world prediction challenges. It compiles top-ranking approaches from major data science competitions like Kaggle, providing detailed explanations and often code. Users can input a problem description (e.g., predicting customer transactions or classifying toxic comments) and get proven strategies that have achieved success.
About kaggle_competition_solutions
anuj0456/kaggle_competition_solutions
This repository compiles solutions from past Kaggle competitions, shared by winners and top performers in the discussion forums. Finding specific competition solutions can be time-consuming, so I've centralized them here for easy reference.
This project helps data scientists, researchers, and enthusiasts easily find and learn from winning strategies in Kaggle competitions. It centralizes links to top solutions shared by winners, saving you time spent searching through forums. You input your need to find a solution for a specific competition or technique, and it outputs organized links to detailed explanations and code from top performers.
Scores updated daily from GitHub, PyPI, and npm data. How scores work