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How-to-Train-Regression-Model-Using-ML-Python

This project explains how to train a regression model using ML and Python. It covers data preprocessing, feature selection, model training with scikit-learn, evaluation using MAE/MSE/R², and visualization of results. It helps beginners learn how to build accurate predictive models for real-world numeric data.

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This project explains how to train a regression model using ML and Python. It covers data preprocessing, feature selection, model training with scikit-learn, evaluation using MAE/MSE/R², and visualization of results. It helps beginners learn how to build accurate predictive models for real-world numeric data.

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