Build a crypto price model in Python: pull data with yfinance, engineer features, split by date, then test Linear Regression ...
When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," and "overfitting."Even if you look up the meaning of each, if you don't ...
This repository contains an end-to-end system that predicts daily S&P 500 market direction using financial and political news headlines. The project combines natural language processing (NLP), machine ...
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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