Python code source for features selection 👨🔬 series on medium website. 📰
A powerful ToDo app with a progress bar, total task count, active/completed task tracking, filters (All, Active, Completed), and full CRUD functionality including bulk complete and clear.
Feature selection is done by using filter methods along with data cleaning.
Answer to how to select variables in data set and build simpler, faster, more reliable and interpretable ML models
PYALLFFS: An open-source library for all filter feature selection methods
ADVANCE JAVASCRIPT PROJECT 1
IN PROGRESS: Project for MLG382, Team Members: Werner Pretorius, Zandrei Kleynhans, Lourens Geyser, De Wet Kirsten, Gideon Rossouw
Feature selection for real ML pipelines: filters, wrappers, and metaheuristics with cross-validation, reproducibility, and bundled benchmarks.
Tour management React app.
Trabajo fin de máster de ciencia de datos UC-UIMP-CSIC 2018-2019
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