jayshah19949596/ Machine-Learning-Models
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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
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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