initial website to scrape(changed website later): https://www.winemag.com/toplists/bestbuys2018/
kaggle dataset: https://www.kaggle.com/zynicide/wine-reviews
Red,white,orange dataset: https://www.adelaide.edu.au/wine-econ/databases/winegrapes/
weather data sets: https://www.usclimatedata.com/climate/napa/california/united-states/usca2061/2017/6 https://www.kaggle.com/selfishgene/historical-hourly-weather-data#temperature.csv https://hdsc.nws.noaa.gov/hdsc/pfds/pfds_map_cont.html http://www.cpc.ncep.noaa.gov/products/monitoring_and_data/us_prec.shtml https://governmentshutdown.noaa.gov/ https://www.noaa.gov/climate-data-and-reports #not working as of 1.7.19
Ashenfelter's wine predictors https://www.betterment.com/resources/human-vs-algorithm-investing-a-lesson-from-wine-country/
presentation: https://docs.google.com/presentation/d/1wuJzIsMUBB1ZaZOF4mK5vgnuDvCbCb9Iv_vpb-_z_HE/edit#slide=id.p