Lancaster stemming algorithm
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Updated
Jun 20, 2023 - JavaScript
Lancaster stemming algorithm
New development is moving to: https://github.com/TechLancaster/static-site-2018
A thesis template for the School of Computing and Communications at Lancaster University.
This script provides a modular machine learning tutorial in Python, covering classification and regression with datasets and models like Naive Bayes, Random Forests, GBDT, and Neural Networks, including data preprocessing and visualization functions.
Free BeamStation sample for All Restaurants in Lancaster (Metro), Pennsylvania, US (160 records in the full dataset)
Free BeamStation sample for All Restaurants in Lancaster, California, US (322 records in the full dataset)
New static site development for techlancaster.com
Add a description, image, and links to the lancaster topic page so that developers can more easily learn about it.
To associate your repository with the lancaster topic, visit your repo's landing page and select "manage topics."