Twenty20 Win Probability Added

Hello readers, welcome to today’s blog. I am going to implement a win probability added model for twenty 20 cricket. Now this is nothing new a quick google and there are many sources for it. Cricviz is possibly the most famous version which you may have seen on the app. The idea is the model […]

Predicting Qualifying — 2

In the last blog I outlined creating a model which predicts the fastest time for each driver in F1 qualifying. Today I am going to be dissecting the model to understands its strengths and weaknesses and to look if their is any bias within the model. First lets look at the importance matrix The […]

Predicting F1 Qualifying

Hello, welcome to this blog a few days ago I tweeted the below graph in a tweet It was the output from the model I have created which predicts the qualifying time for each driver. I will get into the review of the outputs of the model in the next blog but today im going […]

Tidy Tuesday Board Games – XGBoost Model

Hello, Today we are going to ask a question and try to answer it with a analysis of data. I want to create a board game. In order do that I want to understand what make a board game more highly rated then another. I want to create a popular board game afterall! To do […]

Does the Dog Get Adopted?? — P2

Today we are going to looking into the second part of creating the classification tree to look at the outcomes of dogs in the Dallas animal shelter. Today it’s the exciting stuff, creating the actual classification tree. If you want to understand how I have prepared the data, go and check out the first blog […]