The UAE mission to explore Mars has already started. You need to help design a computer program that can be used to search for unique things on Mars, like living creatures or water sources In this part of the project, you will collect data and find features that will help you design a computer vision system. 9 EMIRATES : LES MARS MISSION After completing this task, you should have the datasets stored in a file so you can use it in the machine learning (ML) algorithms later. The steps for this project task are shown below. (a) Collect the RGB values for three colours. Store the data for each colour in a separate DataFrame. There should be at least 5 readings for each colour at different lighting positions. (b) Add labels and headers to the dataset. (c) You will transfrom these 3 features into only 2 using the formulas below: 1) Feature 1 = R-G 2) Feature 2 = 2B-R-G (d) Create a new dataset with Feature 1. Feature 2 and the label (colour). (e) Store the new datasets in a new csv file using the to_csv() function. Example of the dataset Feature 1 255 195 Feature 2 -255 0 1 -200 Colour Red Red Red Red Red N 200 -220 19 250 -170 20 160 -210 a) Collect the RGB values for three colours. Store the data for each colour in a separate DataFrame. There should be at least 5 readings for each colour at different lighting positions. b) Add labels and headers to the dataset. The UAE mission to explore Mars has already started. You need to help design a computer program that can be used to search for unique things on Mars, like living creatures or water sources In this part of the project, you will collect data and find features that will help you design a computer vision system. 9 EMIRATES : LES MARS MISSION After completing this task, you should have the datasets stored in a file so you can use it in the machine learning (ML) algorithms later. The steps for this project task are shown below. (a) Collect the RGB values for three colours. Store the data for each colour in a separate DataFrame. There should be at least 5 readings for each colour at different lighting positions. (b) Add labels and headers to the dataset. (c) You will transfrom these 3 features into only 2 using the formulas below: 1) Feature 1 = R-G 2) Feature 2 = 2B-R-G (d) Create a new dataset with Feature 1. Feature 2 and the label (colour). (e) Store the new datasets in a new csv file using the to_csv() function. Example of the dataset Feature 1 255 195 Feature 2 -255 0 1 -200 Colour Red Red Red Red Red N 200 -220 19 250 -170 20 160 -210 a) Collect the RGB values for three colours. Store the data for each colour in a separate DataFrame. There should be at least 5 readings for each colour at different lighting positions. b) Add labels and headers to the dataset