This repository provides clear, beginner-friendly implementations of core machine learning algorithms in Python—without using libraries like scikit-learn. It covers models such as linear regression, logistic regression helping you understand how they work from the ground up.
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This repository provides clear, beginner-friendly implementations of core machine learning algorithms in Python—without using libraries like scikit-learn. It covers models such as linear regression, logistic regression, decision trees, random forest, and XGBoost, helping you understand how they work from the ground up.
nitinshas3/ML_algorithms
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This repository provides clear, beginner-friendly implementations of core machine learning algorithms in Python—without using libraries like scikit-learn. It covers models such as linear regression, logistic regression, decision trees, random forest, and XGBoost, helping you understand how they work from the ground up.
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