jeongyoonlee/Kaggler
Code for Kaggle Data Science Competitions
This project provides tools for preparing your data and building machine learning models efficiently. It takes in raw datasets, helps you clean and transform them, and then outputs predictions or insights. It's designed for data scientists and analysts who want to quickly experiment with different modeling approaches, especially for classification or regression tasks.
750 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist or analyst looking to quickly prototype and iterate on machine learning models, especially when dealing with categorical features or online learning scenarios.
Not ideal if you need a comprehensive, low-code AutoML solution for non-technical users or are working exclusively with deep learning architectures for complex data types like images or natural language.
Stars
750
Forks
167
Language
Python
License
MIT
Category
Last pushed
Apr 25, 2024
Commits (30d)
0
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