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Catalog / ApurvPatki1703 / MachineLearning
Public GitHub Catalog Discovered Sep 30, 2026

ApurvPatki1703 / MachineLearning

This package can be used when text is to be vectorized and used in tools such as matlab or octave. The package provides text parsing, vectorization using TF and TF-IDF scheme. The output is a sparse file that can directly be loaded in matlab and algorithms can be run on it. Samples for multinomial Naive Bayes classifier, SVM, Logistic Regression are also available.

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ApurvPatki1703/Tries

This is implementation of Trie, Suffix tree data structure. This code is an implementation of the data structures on the lines of lecture by Robert Sedgewick in the course Algorithms 2 on coursera.

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