Machine-Learning-Algorithms

Implemented various ML algorithms such as:

Frequentist Estimate
Bayesian Estimate
Gaussian Fitting (1D and 2D)
Naive Bayes classifier (using Histograms & Mixture of Gaussians)
Linear Regression
Logistic Regression
Neural Networks
Decision Trees and Random Forests
Principal Component Analysis
Singular Value Decomposition
Dynamic Time Warping
K-nearest neighbor classifiers
Dynamic Time Warping
K-means clustering
MDPs & Reinforcement Learning
F-Test (finding 100 prominent features out of 4434 features and then train the classifier using those 100 features).

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Bayes Classifiers		Bayes Classifiers
Bayesian Estimate		Bayesian Estimate
Decision Trees and Random Forest		Decision Trees and Random Forest
Dynamic Time Warping		Dynamic Time Warping
Fitting 1D Gaussian		Fitting 1D Gaussian
Fitting 2D Gaussian		Fitting 2D Gaussian
Frequentist Estimate		Frequentist Estimate
K Nearest Neighbors		K Nearest Neighbors
K-means Clustering		K-means Clustering
Linear Regression		Linear Regression
Logistic Regression		Logistic Regression
Neural Networks		Neural Networks
Principal Component Analysis		Principal Component Analysis
Singular Value Decomposition		Singular Value Decomposition
README.md		README.md