https://github.com/vyjayanthipolapragada/logistic_regression_classifier
Built a classifier using Logistic Regression model to classify different species of flowers
https://github.com/vyjayanthipolapragada/logistic_regression_classifier
cancer-classification classification data-science flower-classification jupyter-notebook logistic-regression pandas python scikit-learn
Last synced: 2 months ago
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Built a classifier using Logistic Regression model to classify different species of flowers
- Host: GitHub
- URL: https://github.com/vyjayanthipolapragada/logistic_regression_classifier
- Owner: VyjayanthiPolapragada
- Created: 2024-01-09T18:34:57.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-09T18:54:20.000Z (over 2 years ago)
- Last Synced: 2025-06-04T05:53:15.584Z (about 1 year ago)
- Topics: cancer-classification, classification, data-science, flower-classification, jupyter-notebook, logistic-regression, pandas, python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 29.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Logistic_Regression_Classifier
Built a classifier using Logistic Regression Model to classify different species of plants
Trained/Tested the model and used the same to classify cancerous tumors
Datasets used for both classifications: (modified datasets are uploaded above)
1. plant dataset (original) : https://archive.ics.uci.edu/dataset/53/iris
2. cancer dataset (original) : https://archive.ics.uci.edu/dataset/17/breast+cancer+wisconsin+diagnostic
Original datasets contain multiple columns, modified version has optimized features for enhanced training/testing of model.
Libraries used: pandas, scikit-learn (both come along with Jupyter notebook)