Predicting aqueous solubility with neural networks

Predicting aqueous of chemical compounds without the presence of a physical sample would make the process of drug discovery easier. Can machine learning help us achieve this?

Random Coin Flips

Humans are inherently bad at understanding randomness and probability. The classic example is the coin-flip. In this post use statistical hypothesis testing to show this phenomenon.

Computational Approach to Evolutionary Game Theory

From abstraction to simulation, we try to solve the same evolutionary problem using both analytical and computational techniques but do we reach the same conclusions?

Visualising the Intersection of Disease and the Human Genome

Since the Human Genome Project completed its survey of Homo sapian genes in 2003, we have had access to an incredibly powerful dataset for understanding disease and discovering new diseases. In this post, we demonstrate an interactive web app visualising such data.

Simulating Planetary Motion with Python

Tracking the motion of the planets is a challenge that is proven to be intractable using pure mathematics alone. Can we, however, find a solution using data science?

A Data-Driven Dive into UK Party Conference Leaders' Speeches

Wordclouds, sentiment, and scrabble scores. In this post, we analyse and visualisation a collection Leaders' speeches, using traditional and not-so-traditional text analysis techniques.

A Polish Approach to Countdown

The Countdown numbers game is notoriously fiendish. That said, with the right computational tricks, it can be solved using only basic coding abilities.

Horsing Around: Problem-Solving Using Monte Carlo Markov Chains

What can you do when the mathematical solution to a problem is becoming to complex? Use simulation. Learn more about the application of simulation to a chess-based puzzle in this post.

Quantifying Anonymity: The Science of Staying Private

In a world where information is everywhere and privacy is paramount, how can we leverage data science to improve and measure the privacy of our personal data?

The Trump Effect: Can Data Explain What We Never Saw Coming?

Everyone has their theories on what led to Trump's surprise victory in the 2016 presidential election, but what does data science have to say on the matter?