GitHub / lovnishverma / iris_prediction_using_joblib_model
A lightweight web app built with Flask and Scikit-learn to classify Iris flowers into Setosa, Versicolor, or Virginica based on petal and sepal measurements. The machine learning model is trained with Logistic Regression and loaded using Joblib for efficient serialization. Perfect for beginners exploring ML model deployment with Flask.
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PURL: pkg:github/lovnishverma/iris_prediction_using_joblib_model
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: HTML
Size: 27.3 KB
Dependencies parsed at: Pending
Created at: 29 days ago
Updated at: 21 days ago
Pushed at: 29 days ago
Last synced at: 8 days ago
Topics: flask, huggingface, joblib, python3
Funding Links https://github.com/sponsors/lovnishverma, https://buymeacoffee.com/lovnishverma