jayshah19949596 / 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
Stars: ✭ 160
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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
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