https://github.com/ranjan2104/automobil-prediction-application
This Model is Built using Machine Learning Algorithm i.e Linear Regression and Sklearn so training and testing of data and uses Flask as in Backend and HTML, CSS and JS as in Frontend and the pickle module is used for make a .pkl file such that the data can be fetched using flask is possible and make the prediction of 88%+.
https://github.com/ranjan2104/automobil-prediction-application
bootstrap4 css flask html js linear-regression numpy pandas pickle sklearn
Last synced: 4 months ago
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This Model is Built using Machine Learning Algorithm i.e Linear Regression and Sklearn so training and testing of data and uses Flask as in Backend and HTML, CSS and JS as in Frontend and the pickle module is used for make a .pkl file such that the data can be fetched using flask is possible and make the prediction of 88%+.
- Host: GitHub
- URL: https://github.com/ranjan2104/automobil-prediction-application
- Owner: Ranjan2104
- License: bsd-2-clause
- Created: 2021-06-25T09:23:55.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-06-25T09:38:10.000Z (over 4 years ago)
- Last Synced: 2025-06-13T10:04:23.754Z (4 months ago)
- Topics: bootstrap4, css, flask, html, js, linear-regression, numpy, pandas, pickle, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 1.88 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# AutoMobil Prediction Application
This Model is Built using Machine Learning Algorithm i.e Linear Regression and Sklearn so training and testing of data and uses Flask as in Backend and HTML, CSS and JS as in Frontend and the pickle module is used for make a .pkl file such that the data can be fetched using flask is possible and make the prediction of 88%+.
