scikit-learn

scikit-learn Posts

Fun generating content

I’ve been working on getting Fitness Tracker release ready which has meant going through a lot of structured data and trying to turn it into something that people can read and build fitness routines with. This has involved generating text suitable for both websites and in app consumption and rather than use generative AI, I decided to roll my own model with python. Results are okay so far, but quickly improving. ( read the article )

Categories - Fitness Tracker , Python , Numpy , Scikit-learn

scikit-learn Overview

scikit-learn is one of the most widely used libraries for machine learning in Python. Built on top of NumPy, SciPy, and matplotlib, it provides simple and efficient tools for data mining, data analysis, and machine learning. The library includes a broad range of algorithms for classification, regression, clustering, dimensionality reduction, model selection, and preprocessing. With a clean and consistent API, scikit-learn is ideal for both beginners and experienced practitioners. Its integration with the broader Python scientific stack makes it a go-to choice for building end-to-end machine learning pipelines in research, education, and production environments.

hluska.ca

Return to the main blog page

scikit-learn Posts

Fun generating content

scikit-learn Overview

Related Links

hluska.ca