Machine Learning Models Save
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
Project 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
Open Source Agenda is not affiliated with "Machine Learning Models" Project. README Source: jayshah19949596/Machine-Learning-Models
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Last Commit
6 years ago
Repository
Tags
Decision Trees
Dynamic Time Warping
Em Algorithm
Gaussian Classifier
Gaussian Mixture Models
Kmeans
Kmeans Algorithm
Kmeans Clustering
Knn
Knn Classification
Linear Regression
Logistic Regression
Machine Learning Algorithms
Naive Bayes Classifier
Neural Network
Principal Component Analysis
Random Forest
Singular Value Decomposition
Supervised Learning
Value Iteration Algorithm
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