jayshah19949596/ Machine-Learning-Models
Need help with Machine-Learning-Models?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.
About the developer
147 Stars 
103 Forks 
97 Commits 
0 Opened issues 
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
Services available
Contributors list
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