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Tag: scikitlearn

Confusion matrix, accuracy, recall, precision, false positive rate and F-scores explained

May 23, 2020May 23, 2020 nillsf 1 Comment

When building a machine learning model, it’s important to measure the results of your model. Typically, you split a dataset into a training dataset and a test dataset. The training dataset is used to train your model, while the test dataset is used to measure the performance of your model. A commonly used method to […]

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Tuning / regularizing common linear regressions and classifiers in scikitlearn

May 17, 2020May 17, 2020 nillsf

If you read my article in January about my personal development goals, you might have seen that I’m working to achieve the DP-200 certification. During the learning process for DP-200, I learned that I lacked certain basic knowledge about how to do data engineering / data science in Python. For that reason, I decided to […]

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About the author

I’m Nills, a Cloud and AI Specialist at Microsoft.
I write about the impact of AI and AI-driven software development.
Older posts cover Azure, Kubernetes, and cloud networking from years of hands-on work.
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