I look at identifying any patterns in the Forex market and attempt to find a model that can predict returns on any given currency.

Exploring various ways to understand why our black-box machine learning models make the decisions they do.

In this post, I explore some fundamental problems when working with images and explore the theory behind Haar Cascade classification.

A brief introduction into using the pandas-profiling package to understand datasets quicker.

Here I look into the theory of how convolutional neural networks are able to copy artistic styling onto ordinary images.

Creating a Character - Adversarial Generative Networks

Coming soon.

In His Shoes - Predictive Text

Coming soon.

What Makes Viral Content - Semi-supervised Viral Content

Coming soon.

News x Reddit - NLP on Social Data

Coming soon.