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machine-learning-from-scratch's Introduction

Machine-Learning-from-Scratch: Contents

Regression:

Linear Regression from scratch with a single attribute.

Bayesian:

Naive Bayes Classifier

Gaussian Naive Bayes Classifier

Dimensionality Reduction:

Linear Disciminant Analysis

Prinipal Component Analysis

Instance Based:

K-Means Algorithm

Clustering:

K-Nearest-Neighbors

Neural Networks:

Perceptron with Backpropagation

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