Machine-Learning-Models

A collection of Machine Learning model implementations with detailed descriptions of the algorithms used.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
01 - Python General		01 - Python General
02 - Numpy Library		02 - Numpy Library
03 - Linear Regression		03 - Linear Regression
04 - Logistic Regression		04 - Logistic Regression
05 - Support Vector Machine		05 - Support Vector Machine
06 - K-Nearest Neighbours		06 - K-Nearest Neighbours
07 - Cross-Validation		07 - Cross-Validation
08 - Kernel Methods		08 - Kernel Methods
09 - Multilayer Perceptrons		09 - Multilayer Perceptrons
10 - Convolutional Neural Networks		10 - Convolutional Neural Networks
11 - Dimensionality Reduction		11 - Dimensionality Reduction
12 - Clustering		12 - Clustering
13 - Imbalanced Data		13 - Imbalanced Data
Graded Lab I		Graded Lab I
Graded Lab II		Graded Lab II
Graded Lab III		Graded Lab III
.gitignore		.gitignore
README.md		README.md

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