Day Three in Machine Learning: web scraping and multivariate future predictions with Prophet.

This article is about Machine Learning prediction using data collected from a website and google trend. It is a toy example that assumes a correlation between the keyword “coffee” search on Google and the historical price of coffee. The example shows how to combine different sources of data in a library called Prophet to make multivariate future predictions (Figure 1 shows the final output of the learning exercise). To get the data from this website I used Selenium and Pytrend to access the…