Uditha Maduranga's Projects
Software Engineering Module Project that motivate people to plant more trees.
Autoencoders using Tensorflow. The encoder part of the architecture breaks down the input data to a compressed version ensuring that important data is not lost but the overall size of the data is reduced significantly. This concept is called Dimensionality Reduction.
Here we investigate the degradation of tSNE to PCA / MDS at large perplexity values
Training dataset consists of a sample tuk rides completed. Nearly 10% of the fares are incorrect. The aim should be to train a model based on the given dataset and predict whether the fare of a new set of trips is correct or not.