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ml-model

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This is an end-to-end ML project, which aims at developing a classification model for the problem of predicting credit card frauds using a given labeled dataset. The classifier used for this project is RandomForestClassifier. Deployed in Heroku.

  • Updated Dec 9, 2022
  • Jupyter Notebook

Data analysis and predictive modeling of global water supply trends using historical data from the United Nations Environment Statistics Database. This project explores water accessibility trends across countries and forecasts future water supply scenarios through machine learning techniques.

  • Updated Sep 22, 2024
  • Jupyter Notebook

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