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This project demonstrates a simple implementation of a Linear Regression model using Python. The model is trained to make predictions based on a dataset loaded from a .pkl (Pickle) file.
An end-to-end machine learning pipeline for predicting customer churn using a Kaggle telecom dataset. This project includes data loading, cleaning, preprocessing, feature encoding, and model traini…