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Sample Machine learning project, The project uses Sklearn’s regression techniques such as XGboost and Random forests to train and test the model on student data. Deployed on Heroku with Flask application

License: Apache License 2.0

Dockerfile 0.01% Python 4.24% Jupyter Notebook 94.71% HTML 1.05%
flask-application heroku machine-learning python scikit-learn

student_exam_performance_predictor's Introduction

Hi, I'm ARAVIND

aravind-selvam

ABOUT ME

  • 🔭 I’m currently working as Data Scientist at Xelpmoc Design and Tech Limited

  • 🌱 I’m currently working on Document AI and Large Language Models

  • 💻 Check my Projects and other Repos HERE.

  • ⚡ Fun fact is am Ex-National level Motorsports Athlete and Ex-Startup owner.

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