Machine-Learning-in-R

Mohammed Touami

Some common Machine Learning algorithms and techniques applied using the R language.
Using common R datasets (also some imported from mlbench), to implement some of the most notorious machine learning algorthims and techniques on them, this includes data preprocessing, SVM, Neural Networks, Decision Trees, K-means clustering, Random Forests, Adaboost, PCA and Linear Regression.
The scripts also provide some insights such as execution time, performance, and accuracy and error measures.
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Posted Jan 16, 2024

Some common Machine Learning algorithms and techniques applied using the R language.

Autoencoder Network for Image Compression
Autoencoder Network for Image Compression
FACIAL PAIN DETECTION USING MULTI-LINEAR SUBSPACE LEARNING
FACIAL PAIN DETECTION USING MULTI-LINEAR SUBSPACE LEARNING