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Just like so many data fans before me I have been looking at Machine Learning and how one can apply it. This is a presentation I made about a model I have created back in 2018 when I worked at i2i, a great Dutch company in Amsterdam.  The inspiration came from a good colleague of mine, Thierry Hennekes when we were working together at UMCU. We tried to predict the results of an MMA fight based on the stats of the fighters. I have learned Python, Webscraping, Rest API and Machine Learning in the proces. The goal was to let ML make me rich :-). That didn't happen just yet, but I had a lot of fun trying. Some of the code is in my GiHub repo . For obvious reasons its not the last working version.

 

 

 

Update 202111:  I began to move the system to Azure Cloud. This version leverages the power of Azure (automated) ML. I didn't use webscraping this time and downloaded a UFC dataset from Kaggle. I have trained a model and deployed it as a webservice. I have tested the endpoint from a Python script and it came back with a response. No code ML and its working!

 

My experience with Machine Learning also includes a project I did at Dutch Railways where I have used the Java ML Spark library. The goal was to predict the total number of trainpassengers while leveraging the power of Hadoop cluster for the memory and CPU intensive calculations

 

 

Last Updated on Friday, 03 December 2021 13:56  

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