GitHub / Parag000 / GPU-Accelerated-ML-For-Big-Data-Processing
This project predicts the "Scariest Monster" using a dataset of 12 million entries and 106 features. Utilizing GPU-accelerated processing and the Random Forest Regressor using the Nvidia Rapids API. The goal is to minimize RMSE for accurate predictions
Stars: 1
Forks: 0
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License: None
Language: Jupyter Notebook
Size: 296 KB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 4 months ago
Pushed at: 6 months ago
Last synced at: about 1 month ago
Topics: cudf, cuml, python3, rapidsai, sklearn