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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 Leave a comment

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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I'm Nills, a cloud architect focused on cloud automation. I share my technical stories on this blog, mainly on Azure, Kubernetes and cloud networking.

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