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What should I watch tonight – Movie Recommendations
Introduction Its cold, very cold. There little better to do in early January than sit at home and watch TV, except no one really watches TV live now (sport aside), we all use streaming services such as Netflix or Amazon Prime. Last night I found myself wondering – how does the recommendation system in this…
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Machine Learning – Predicting Fatalities on the Titanic
Introduction This is a sequel to a post I wrote on the Data Analysis of deaths on the titanic and any correlations that can be drawn from them. I recommend you read that post before you read this one. The aim of this post is to use the same dataset to build a model that…
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Iceberg Right Ahead – Analysing Titanic Survival Chances
Introduction The Sinking of the titanic is one of the most famous events of the last century. The “unsinkable” ship sinking on its maiden voyage was a truly humbling event and the introduction of radio / telegram at the time allowed the story to be relayed around the world. Datasets detailing the list of passengers…
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Is the Lottery Fair?
We all dream of winning the lottery and the life changing opportunities this would give us, the houses, cars and holidays. But how likely are you of winning the lottery if every number drawn is random? And how do we know it is a random chance? are there potentially exploits where some numbers are more…
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Data Analysis – Airbnb in London
Let’s for a minute imagine a wonderful parallel universe – where a decision I need to make is where should I buy a property in London to rent out on Airbnb (for those that don’t know me this is about as far fetched as it gets). How could we do this? We would need some…