creating basic data based prediction models with python
Attached is the information needed to complete these assignments.
Assignment 1.[15 Points] Write a Python function that takes a ï¬le name, as a string s, on input and, when called with s = ’CTA-Ridership-L-Station-Entries-Daily-Totals.csv’ reads in all data contained in the ï¬le. You are strongly encouraged to use the Pandas module for this task (as illustrated in lecture notes) but you are free to write your own CSV ï¬le reader, if you want. The function you write to complete Assignment 1 will be used to complete the subsequent assignments below.
Assignment 2.[15 Points] Write a function that prints to screen the average number of rides, for all months, for the UIC-Halsted (station id = 40350) train station. Use the solution from Assignment 1 to access the data.
