Sliced – New York Air BnB

Hello, welcome to todays blog which I am going to go through my attmept at sliced. If you never hear of sliced its competitive data science which you have 2 hours to create a machine learning model. Catch the show here on tuesdays late a night for us Europeans https://www.twitch.tv/nickwan_datasci One of the recent rounds […]

F1 Drivers Rated – Version 2

Hello, so a year and a half a go I created a new metric for measuring F1 drivers performance based around there performance in the race and the expected the performance in the race see blog here F1 Drivers Rated Since then my laptop BSOD’ed and me being useless I never committed the code to […]

FPL Point Projection in R – Part 2

Hello, welcome to part 2 of the series building a model to predict fantasy premier league points. If you missed the first part which i did some initial EDA go check it out here Building a Model in R to Predict FPL Points As I identified before the first part of this they key parts of […]

WPA – Bowler Review

Hello readers, and today is the next in m series of reviewing the WPA metric and what it can show. If this is the first one you are reading then go catch the other two linked here Win Probability Added – Batsman Review Twenty20 Win Probability Added The first blog covers the building of the model the […]

Building a Model in R to Predict FPL Points

Fantasy premier league. That yearly ritual of thinking your team you spend hours agonising over whether to select this player or that player. I find you need to watch a lot of football to keep up with it so the challenge is how can I use data to shortcut this. This is probably the biggest […]

F1 2020 Season Review

Hello readers, its Monday the 4th January and this is the first of my hopefully weekly blogs in 2021. We will see how long that lasts! Today I’m going to be looking at the data underpinning the 2020 F1 season. The story of the season is clear Lewis Hamilton dominated to win his 7th world […]

Pole Position Prediction- A tidymodels Example

Hello readers, today’s blog I will be looking at predicting the formula 1 grid using the Tidymodels collection of R packages. The idea is to use data from the practice sessions on a Friday, to give an idea of what the grid is expected to be for the race on Sunday before qualifying on Saturday. […]