LeaguePredictionModelPipeline
Verified Safeby lmfor
Overview
A data pipeline that downloads League of Legends esports data from Kaggle and trains a TensorFlow model to predict match outcomes.
Installation
python main.pySecurity Notes
The code itself does not contain obvious security vulnerabilities like eval, hardcoded secrets, or malicious patterns. The primary security consideration is the reliance on external data downloaded from Kaggle, which is a common practice in ML but inherently carries a minor risk if the downloaded datasets themselves were compromised or maliciously crafted to exploit vulnerabilities in pandas or other processing libraries. However, Kaggle is a reputable source, and the code handles data loading in a standard manner.
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