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statistical-machine-learning

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The Flight Price Prediction project uses machine learning to forecast flight ticket prices based on historical data. Hosted on Streamlit Community Cloud and deployed via Streamlit, this application allows users to input flight details such as departure and arrival airports, travel dates, and class to receive accurate price predictions.

  • Updated Sep 13, 2024
  • Jupyter Notebook

Developed and deployed a predictive model for estimating housing prices using the Ames Housing Dataset. Utilized advanced regression techniques and feature engineering to achieve high accuracy. Successfully implemented the model as an interactive web application on Streamlit, enabling real-time predictions.

  • Updated Aug 31, 2024
  • Jupyter Notebook

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