https://github.com/farheenb/wine-customers-classification-with-lda-in-python

Used LDA (supervised technique) to perform dimensionality reduction on datasets. Modeled Logistic Regression on selected features to classify the wine customers. Model accuracy 100.00%
https://github.com/farheenb/wine-customers-classification-with-lda-in-python

Last synced: 7 months ago
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Used LDA (supervised technique) to perform dimensionality reduction on datasets. Modeled Logistic Regression on selected features to classify the wine customers. Model accuracy 100.00%

• Host: GitHub
• URL: https://github.com/farheenb/wine-customers-classification-with-lda-in-python
• Owner: FarheenB
• Created: 2020-04-25T11:51:08.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-04-25T17:09:23.000Z (over 5 years ago)
• Last Synced: 2025-01-16T23:32:10.697Z (9 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 43.9 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Wine-Customers-Classification-with-LDA-in-Python

Used LDA (an unsupervised technique) to perform dimensionality reduction on datasets. Modeled Logistic Regression on selected features to classify the wine customers. 

#### Model accuracy- 100.00%