Problem 2 (50 points): Sloan Digital Sky Survey For this problem you have file containing 10,000 records from the Sloan Digital Sky Survey. These records consist of 17 feature columns and a target column. Using Jupyter Notebook with python3, classify the observations (according to the Class field). The goal is to develop a classifier that can distinguish between different astronomical observations. Use the process described in class and in your book to build the "best" decision tree. Make sure you write up your analysis. Turn in your Jupiter notebook file and your write up. Do Not Turn In The Data! If you change the data in anyway, it must be through your Jupiter Notebook file. Don't forget to include your visualizations. Problem 2 (50 points): Sloan Digital Sky Survey For this problem you have file containing 10,000 records from the Sloan Digital Sky Survey. These records consist of 17 feature columns and a target column. Using Jupyter Notebook with python3, classify the observations (according to the Class field). The goal is to develop a classifier that can distinguish between different astronomical observations. Use the process described in class and in your book to build the "best" decision tree. Make sure you write up your analysis. Turn in your Jupiter notebook file and your write up. Do Not Turn In The Data! If you change the data in anyway, it must be through your Jupiter Notebook file. Don't forget to include your visualizations