Machine Learning Implementations

This repo contains me and my team's implementations on machine learning field of study.

List of impementations

Neural Network Architecture

• LeNet-50 - on MNIST Dataset FINISHED - recognizes handwriting image with 98.42% accuracy.
• LeNet-100 - on MNIST Dataset FINISHED - recognizes handwriting image with 98.89% accuracy.
• ResNet - on Tomato Leaf Dataset [UNFINISHED] - ..
• ResNeXt-50 - on Tomato Leaf Dataset FINISHED - determines a tomato plant disease based on its leaf image pattern with 75.25% accuracy.

Regression Algorithm

• Multiple Linear Regression - on CO2 Emission Dataset FINISHED - finished with mean absolute error (MSE) percentage of 14.03%.
• Multiple Linear Regression - on Spambase Dataset FINISHED - got 89% accuracy on predicting spam.

Clustering Algorithm

• KModes Clustering - on Agaricus Lepiota Dataset FINISHED - Successfully clustered into three clusters.

Optimization Algorithm

• Gradient Descent FINISHED - implementation of gradient descent optimization with random-generated numeric dataset.

Contributor

Me, arizky012, naimn2. Hasanuddin University Department of Computer Science