This repository contains a beginner-friendly implementation of Logistic Regression using Python. It includes data preprocessing, model training, evaluation using confusion matrix and accuracy score, and data visualization techniques to understand model performance.
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This repository contains a beginner-friendly implementation of Logistic Regression using Python. It includes data preprocessing, model training, evaluation using confusion matrix and accuracy score, and data visualization techniques to understand model performance.
akshatagnihotri/Basic-Logistic-Regression-in-Python
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This repository contains a beginner-friendly implementation of Logistic Regression using Python. It includes data preprocessing, model training, evaluation using confusion matrix and accuracy score, and data visualization techniques to understand model performance.
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