This is a mirror of one of my kernels of Kaggle: https://www.kaggle.com/liamkesatoran/asteroid-diameter-estimators-with-added-difficulty
Find the data here: https://www.kaggle.com/basu369victor/prediction-of-asteroid-diameter
Dependencies: numpy, sklearn, keras, matplotlib, seaborn
Just a simple supervised learning notebook, showing how to estimate an asteroid's size with other physical data. I removed some columns that gave too high correlation for curiosity and added difficulty.