Stellar Classification

Intro:

Stellar classification has been utilized for categorizing stars and extraterrestrial bodies using their spectral characteristics such as radiation. The problem can be categorized as supervised learning.

Dataset Characteristics:

• 17 feature columns.
• 3 classes be either a star, galaxy, or quasar.
• 100.000 data points.

Classification algorithms to be used:

• Support Vector Classification.
• K-nearest neighbor.
• Random Forest.
• XGBClassifier.