https://github.com/lakshmankishore/irisclassification

An end to end ML project for practicing
https://github.com/lakshmankishore/irisclassification

flask heroku html-css-bootstrap knn-classification machine-learning

Last synced: about 2 months ago
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An end to end ML project for practicing

• Host: GitHub
• URL: https://github.com/lakshmankishore/irisclassification
• Owner: LakshmanKishore
• Created: 2021-10-10T13:22:55.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-04-04T15:58:57.000Z (10 months ago)
• Last Synced: 2024-10-24T16:56:04.743Z (3 months ago)
• Topics: flask, heroku, html-css-bootstrap, knn-classification, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 1.71 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        

# Iris Classification

This is a Hello World project for Machine Learning.

I have used XGBoost model for this project. 

I have used py-script to do the model deployment.

## Tech Stack

**Client:** HTML5, CSS, Bootstrap, JavaScript, py-script

  

## Lessons Learned

I was able to link the Machine Learning Model to the web with help of py-script.

I was easily able to link the model to the frontend.

I learnt more about sklearn, xgboost, py-script python packages.

## Related

Here are some related projects

* [Color Name Prediction](https://github.com/LakshmanKishore/colorNamePrediction)

* [Loan Prediction](https://github.com/LakshmanKishore/loanPrediction)

## You can watch the code live [here](https://lakshmankishore.github.io/irisClassification/)

## Learn more about the project in my [blog post](https://lakshman007bff.hashnode.dev/deploying-iris-classification-model-with-xgboost-free-instant-updates-with-pyscript-deployment).