Hello readers, we are entering another Kaggle playground competition, so get your Yorkshire tea ready and enjoy the process of joining. This month the competition I entered is this one https://www.kaggle.com/competitions/playground-series-s3e7It’seiew It’s looks like looks are canncellations from hotels and spoiler alert – I had a lot of fun with this dataset. EDA First, I […]
Cricket Weighted Batting Average in R
Hello, I hope you have your Yorkshire tea ready as today I am going to be exploring weighted averages using R. I used the code above to generate the table of the top 15 players by batting average in the 2022 county championship. Now the whole point of this blog is to devise a weighted […]
Kaggle January Playground Series – Tidymodels
Hello, hope you have your Yorkshire tea ready this is going to be a new series on the blog in which each month I am going to be tackling Kaggles monthly playground series. Find the link to Januarys below feel free https://www.kaggle.com/competitions/playground-series-s3e1 So let’s get started EDA Above is the structure of the training dataset. […]
Predicting Twenty 20 Cricket Result with Tidy Models
Hello, hope you have your Yorkshire tea to hand and sitting comfortably ready to read today’s blog. In it I am going to be doing some machine learning with tidymodels to predict the outcome of some twenty20 cricket matches. I am using the data from cricsheet as used in this blog and using the win […]
Australian GP FP2
Hello, this is a new series which I will be analysing the data from Friday practice at the Grand Prix. The focus is going to be on strategy so key to a Formula 1 race. This is the first version of this analysis, lookout for more information on future races Tyre Degradation Relatively low degradation […]
Rating Each Drivers 2021 Season – 10 – 1
Hello, welcome to the second part of this look at F1 Drivers performance in 2021 and this time we look at the top 10 so get your cup of Yorkshire tea at the ready! =9 Daniel Ricciardo 50% =9 Lando Norris 50% Lando Norris is a strange one. The first half of the season was […]
Rating Each Drivers 2021 Season – 20 – 11
Hello and happy new year. Hope you have a nice cup of Yorkshire tea ready to read this we are going to review each driver’s performance in the 2021 season. I’m going to do this using my expected position metric detailed here theparttimeanalyst.com/2021/05/11/f1-drivers-rated-version-2/ The drivers are ranked by the % of races they had a […]
F1 Strategy Analysis
I was recently browsing reddit and found this AMA from a former mercedes strategy engineer The most surprising thing was that most of the race strategy was calculated using VBA in excel. This isn’t some start up outfit this is the mighty Mercedes winners of the last 7 constructors and drivers championships. In this blog […]
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 […]
FPL – Point Project Part 3
Hello, this is part 3 of building a model to project the points a player might score in a given game week. If you have not read part 1 or 2 links below Part 1 – https://theparttimeanalyst.com/2021/03/09/building-a-model-in-r-to-predict-fpl-points/ Part 2 – https://theparttimeanalyst.com/2021/04/22/fpl-point-projection-in-r-part-2/ Now that the estimate of the score is created its time to work out […]
Sport Data Science 