milaan9/Machine_Learning_Algorithms_from_Scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

Jupyter NotebookMATLABdata-sciencemachine-learningrandom-forestmachine-learning-algorithmsnaive-bayes-classifierdecision-treesfitting-algorithmdynamic-time-warpingmachine-learning-pythonsingular-value-decompositionvalue-iteration-algorithmfrequentist-methodserror-functionsgaussian-naive-bayesmachine-learning-matlabpython4datasciencetutor-milaan9matlab4datascience
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Python_Machine_Learning_Algorithms_from_Scratch Introduction 👋 This repository explores the variety of techniques anf alorithm commonly used in machine learning and the implementation in MATLAB and PYTHON. Table of contents 📋 Alogrithm used are : Decision Trees and Random Forest Classifier Naive Bayes Classifier Gaussian Naive Bayes Calssifier Mixture Of Gaussians using EM Algorithm Neural Network Singular Value Decomposition Principal Component Analysis Fitting the data to a 1D Gaussian Fitting...
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