stabgan/Linear-Discriminant-Analysis
We used LDA in this project to expand the capabilities of our Logistic Regression Classifier in both Python and R
This project helps wine producers or marketers analyze wine characteristics to understand customer preferences better. By inputting chemical analysis data for various wine samples, it reduces complex chemical profiles into a simpler, visual format. The output helps identify which chemical features are most important in distinguishing between different customer segments, making it useful for market segmentation and product positioning.
Use this if you need to simplify complex wine chemical data to identify key features that differentiate customer segments and visualize these distinctions.
Not ideal if you're looking for a tool to analyze text data, image recognition, or predict continuous values like sales volume.
Stars
9
Forks
8
Language
Python
License
MIT
Category
Last pushed
Mar 14, 2026
Commits (30d)
0
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