README.md

Day 1

Now you're going to test the model you developed yesterday using trips from 2014 with data from 2015.

First you'll need to get data for 2015. Make a copy of the the download_trips.sh script from week 1 here and modify it to download all trips from 2015. You can call it download_trips_2015.sh.
Then make a copy of the load_trips.R script from week 1 here and modify it to load the 2015 trip data along with weather data for 2015 contained in weather_2015.csv. You can call it load_trips_2015.R. If you used any other data for your model, make sure to include code that downloads and incorporates that data as well. The result should be a trips_2015.Rdata file similar to what you used to develop your model, but containing data from 2015 (instead of 2014).
Write a new file called test_citibike_predictions.Rmd that loads in the 2015 trips_2015.Rdata file and weather data along with your saved model (from yesterday's .Rdata file, and predicts the number of trips for each day.
Compute the RMSE between the actual and predicted trips for 2015 and compare the results to what you found with cross-validation on the 2014 data.
Pair up with a partner who has a different model, use their code to run their model, and evaluate the predictions it makes for 2015.
Write up any thoughts you have about this exercise in your Rmarkdown file, ranging from how the model performed in 2014 vs. 2015, challenges you faced in running it on new data, or issues that came up in running each other's code. Commit and push the file to Github when you're done.

See the project folder for more details on the paper we'll replicate and extend.