# Machine-Learning-Models

**Repository Path**: lipeng_66/Machine-Learning-Models

## Basic Information

- **Project Name**: Machine-Learning-Models
- **Description**: 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
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2021-07-26
- **Last Updated**: 2021-08-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Machine-Learning

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

# Alogrithm used are :
  1. Decision Trees and Random Forest Classifier
  2. Naive Bayes Classifier
  3. Gaussian Naive Bayes Calssifier
  4. Mixture Of Gaussians using EM Algorithm
  5. Neural Network
  6. Singular Value Decomposition
  7. Principal Component Analysis
  8. Fitting the data to a 1D Gaussian
  9. Fitting the data to a 2D Gaussian
  10. K Nearest Neighbours
  11. Linear Regression
  12. Logistic Regression
  13. K-Mean Clustering
  14. Value-Iteration-Method
  15. Dynamic Time Warping
  16. Error Function and Regularisation