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pycaret-library

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Our project leverages Python, pandas, Tableau, and machine learning techniques to analyse and predict student outcomes in higher education. Using a comprehensive dataset, we employ data preprocessing, visualisation with Tableau, and advanced machine learning models built with Python to uncover insights into graduation rates and factors influencing

  • Updated Aug 22, 2023
  • Jupyter Notebook

This is a Streamlit application that allows users to explore the Washington DC Bike Dataset and showcases the modeling process for predicting the number of users per hour on a given day. The app includes two main sections: exploratory data analysis (EDA) and predictive modeling.

  • Updated Mar 28, 2023
  • Jupyter Notebook

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