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 1 year 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 4 years ago)
- Default Branch: main
- Last Pushed: 2024-04-04T15:58:57.000Z (about 2 years ago)
- Last Synced: 2025-02-02T02:11:11.077Z (about 1 year 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
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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).