When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...
One of the representative algorithms in machine learning is the decision tree.A decision tree is a method that makes ...
Air pollution monitoring is essential for understanding environmental conditions and assessing potential health risks. This project implements a machine learning-based approach to predict PM2.5 ...
A FastAPI implementation of a customer churn prediction system, using a replica of a real-world telecom use case. Integrates a trained Scikit-learn model with Joblib for customer churn predictions ...
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