Analysis:
I would
- download data : requests, pandas, bs4
- clean data : pandas
- models : Linear regression
In the analysis, to run the model, the y would be the number of people take MTA(total count of turnstile), and the other regressors will be temperature, humidity, wind speed and weather conditions(snow, rain, fog....etc).
Result:
Linear regression 1 : ENTRIES_hourly ~ Clear + Humidity + Rain + Snow + Temperature + Cloudy