Asteroid Diameter Prediction using ML/DL techniques

PaAC Open Projects Autumn'2022

Problem Statement

The diameter of an asteroid is one the most important physical parameter of an asteroid, it is used to detect if an asteroid is potentially hazardous or not if it is found to be a Near Earth Object. We aim to train a ML/DL model on JPL asteroid database to predict asteroid diameter.

Resources

• Asteroid Diameter Prediction using MLP
• Dataset
• Asteroids: Crash Course
• Numpy, Pandas and Matplotlib tutorial
• EDA in python
• Linear Regression using scikit-learn
• GridSearchCV
• 3B1B: What is a neural network?
• Tensorflow tutorial
• Regression using Neural Networks
• Hyperparameter tuning