Machine-Learning-Models: Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

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Descision Tree and Random Forest

Dynamic Time Warping

Error Function and Regularisation

Fitting 1D Gaussion to data

Fitting 2D Gaussion to Data

Mixture Of Gaussian Using EM-Algortihm

Naive Bayes Classifier

Neural Network

Principal Component Analysis

Singular Value Decomposition

Value Iteration Method

README.md

README

# Machine-Learning

  - The Repository contains Machine Learning Algortihms Implemented by me in MATLAB and PYTHON

# 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 the data to a 2D Gaussian
K Nearest Neighbours
Linear Regression
Logistic Regression
K-Mean Clustering
Value-Iteration-Method
Dynamic Time Warping
Error Function and Regularisation

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

MATLAB 等 2 种语言

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