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Galaxy Redshift Prediction Dataset



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Galaxy Redshift Prediction
This project utilizes data from the Sloan Digital Sky Survey (SDSS) to create a machine learning model that predicts the redshift of galaxies based on their photometric properties ('u', 'g', 'r', 'i', 'z'). The model is built using TensorFlow, demonstrating the application of a Multi-Layer Perceptron (MLP) in predicting astronomical measurements. Project Overview:
The dataset comprises photom...