Predicting Football Results With Statistical Modelling: Dixon-Coles and Time-Weighting
This post describes two popular improvements to the standard Poisson model for football predictions, collectively known as the Dixon-Coles model
This post describes two popular improvements to the standard Poisson model for football predictions, collectively known as the Dixon-Coles model
Announcing my new Python package with a look at the forces involved in cryptocurrency prices
This post investigates the universally known but poorly understood home advantage and how it varies in football leagues around the world
Taking a break from deep learning, this post explores the recent surge in song collaborations in the pop charts
Taking a break from deep learning, this post explores the recent surge in song collaborations in the pop charts
This post brings together cryptos and deep learning in a desperate attempt for Reddit popularity.
Using D3, this post visually explores activation functions, a fundamental component of neural networks.
This post hopes to promote some good practices for beginners aiming to build neural networks in Keras
Combining the world’s most popular sport with everyone’s favourite discrete probability distribution, this post predicts football matches using the Poisson d...
Combining the world’s most popular sport with everyone’s favourite discrete probability distribution, this post predicts football matches using the Poisson d...
This posts describes (with GIFs and words) the most common clustering algorithms available through Scikit-learn.
Concluding my seminal series on the data professions (the New York Times’ words, not mine), this post focuses on the mysterious and elusive data engineer.
This post looks at road accidents in the UK between 2005 and 2015 and investigates whether we can forecast the number of accidents in 2016.
Using both graph theory and conventional statistics, this post explores whether Europe’s major football (soccer) leagues are becomming less competitive.
This post explores the desired skills of data scientists/analysts and harnesses NLP to accurately predict data scientist positions from the job description
I decided to start off my blog series with a topic that can be often overlooked within the data science field. What exactly is a data scientist? Specifically...