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An Actuary learns Machine Learning – Part 3 – Automatic testing/feature importance/K-fold cross validation

23/12/2020

 
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In which we don’t actually improve our model but we do improve our workflow - being able to check our test score ourselves, analysing the importance of each variable using an algorithm, and then using an algorithm to select the best hyper-parameters

Source: https://somewan.design

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An Actuary learns Machine Learning – Part 2 – Spyder/Random Forest/Hyper-Parameters

13/12/2020

 
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​In which we build our first machine learning model in Python, beat our previous Excel model on our first attempt, and then fail multiple time to improve this new model…
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Source: https://somewan.design

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An Actuary learns Machine Learning – Part 1 – Kaggle/Titanic/Excel

5/12/2020

 
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In which we enter a machine learning competition, predict who survived the titanic, build an Excel model, and then realise it performs no better than Kaggle’s ‘test submission’...

Source: https://somewan.design

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    Author

    ​​I work as a pricing actuary at a reinsurer in London.

    I mainly write about Maths, Finance, and Technology.
    ​
    If you would like to get in touch, then feel free to send me an email at:
    ​LewisWalshActuary@gmail.com

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