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Final project for Data Mining course (Uniba)

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astroinformatics astronomy astrophysics cost-sensitive-learning datamining datascience imbalanced-data imbalanced-learning machine-learning nasa resampling

nasa-neo-project's Introduction

NASA-NEO-Project 🔭

Progetto finale del corso di Data Mining Uniba.

Dataset source: https://www.kaggle.com/datasets/sameepvani/nasa-nearest-earth-objects?select=neo_v2.csv

Obiettivo 🎯

Addestramento di un modello di classificazione binaria per poter predire accuratamente se un NEO può potenzialmente essere un pericolo per la terra. Inoltre si vogliono evidenziare le differenza nell'addestramento provando varie tecniche per "risolvere" il problema dello sbilanciamento della class target.

Near Earth Object ☄️

Un Near Earth Object (NEO) è un oggetto celeste che orbita intorno al Sole e che ha un'orbita che lo porta vicino alla Terra. Questi oggetti possono essere asteroidi, comete o detriti spaziali. La loro classificazione come pericolosi o meno dipende dalla loro dimensione, velocità e distanza dalla Terra. La classificazione accurata dei NEO è fondamentale non solo per prevenire eventuali collisioni con la Terra, ma il solo passaggio può influenzare fenomeni naturali.

nasa-neo-project's People

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