abishekarjun98 / ML_app

Iris_dataset

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ML_app

Iris_dataset

A website that predicts the Type of Iris flower based on the dimensions entered :

1.In project , add all html file in the templates folder

2.In the static folder add all the css elements and images to work on webpage.

3.Change the UPLOAD_FOLDER variable in line 15(app.py)

4.Setup an virtual environment and activate the environment before running the app.

Complete explanation of the code : https://abishekarjun.medium.com/iris-classification-flask-app-2b4880ece2fb

Pre-Trained Models:

Sample.pkl Trained_model1.pkl

model_list.dat contains the list of all models

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Saved Models

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Iris_dataset


Languages

Language:HTML 64.3%Language:Python 27.8%Language:CSS 7.9%