This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
myID3 and myC45 modules implementation (Tubes1B), myMLP module implementation with mini-batch gradient descent (Tubes1C) and 10-fold cross validation scheme implementation (Tubes1D)
The goal of this disaster relief project was to test supervised learning algorithms on imagery data collected after the 2010 Haiti earthquake, in order to locate and provide aid to survivors as quickly as possible.
Simple feedforward convolutional neural network implementation (Tubes1A) and simple convolutional neural network with 10-fold cross validation scheme implementation (Tubes1B)
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