About the repository

This is a repository demonstrating practical implementation of machine learning algorithms and deep learning models.

Implementations so far

Here is the list of implementations so far:

Deep Learning:

• Convolutional Neural Networks for CIFAR-Dataset(86% accuracy)
• Deep Q Network for Reinforcement Learning on Atari games
• Simple neural network using just numpy arrays for MNIST
• Neural network implementation in keras for MNIST
• Neural network in Tensorflow for MNIST

Other stuff:

• SVM implementation using sklearn and synthetic seperable data
• Predicting fuel consumption-sklearn
• Predicting fuel consumption-tensorflow
• Predicting power plant energy output from plant conditions-sparkMLlib