aasu14/Data-Science-Hackathon-And-Competition
Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI
This project offers a collection of winning solutions from various data science hackathons and competitions. It provides example code and approaches that have achieved high rankings, demonstrating effective strategies for tackling real-world data challenges. Data scientists and machine learning practitioners looking for proven methodologies to improve their competition performance would find this valuable.
225 stars. No commits in the last 6 months.
Use this if you are a data scientist participating in machine learning competitions and want to learn from successful past submissions.
Not ideal if you are looking for a general-purpose data science library or a step-by-step beginner's guide to machine learning.
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Jupyter Notebook
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Last pushed
Oct 27, 2023
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