Shypd.aiThe largest open index of AI toolsMLfromscratch is an open-source coding & development tool that provides machine learning algorithm implementations from scratch. It includes algorithms like KNN, Linear Regression, and PCA, useful for educational purposes and understanding ML mechanics.
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MLfromscratch is an open-source project offering machine learning algorithm implementations developed from scratch. It serves as an educational resource for those looking to understand the underlying mathematics and code of various ML algorithms. The repository includes implementations for popular algorithms such as K-Nearest Neighbors (KNN), Linear Regression, Logistic Regression, Naive Bayes, Perceptron, Support Vector Machine (SVM), Decision Tree, Random Forest, Principal Component Analysis (PCA), K-Means, AdaBoost, and Linear Discriminant Analysis (LDA). The project primarily uses NumPy for the core algorithm implementations, with Scikit-learn, Matplotlib, and Pandas used for data generation, testing, and plotting. This setup allows users to focus on the 'from scratch' aspect of the algorithms while still having access to tools for practical application and visualization.
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