The following problems appeared as assignments in the coursera course Data-Driven Astronomy. The description of the problems are taken mostly from the course assignments and from https://groklearning.com/learn/data-driven-astro/. 1. Building a Regression Model to predict Redshift The Sloan data (sdss_galaxy_colors) is going to be used for this purpose, the first few rows are shown below. The columns ‘u’–‘z’ are the flux … Continue reading Some Machine Learning with Astronomy data (in Python)
