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Predicting Asteroid Diameter

Size matters.... when it comes to asteroids

This project involves predicting asteroid diameters based on various orbital data and physical parameters provided by NASA JPL.

During this project, I gained extensive knowledge about analyzing high-dimensional data, fixing skewed data and removing outliers, data correlation, preprocessing pipelines, and explaining black-box models using SHAP values. Check out the report for more information.

I completed this project during my Classification and Regression (CLR204) class last year (Sep 2023).

Technologies used:

  1. Data analysis and engineering: NumPy and Pandas
  2. Data visualization and plotting: Seaborn
  3. Creating preprocessing pipelines and machine learning models: Scikit-Learn (might update to PyTorch later)

Dataset Link: https://github.com/blakelobato/Predicting-Asteroid-Diameter-Dash/blob/master/model/Pred_Ast_Diam_2.csv