[D] I need ideas on how to use the Google Trends data to build a ML model
Like the title says, i had the idea to use the Google Trends data (both using the site or the unofficial API, if they still work) to train a model of some kind for a university project, but as often happens, when i started working i found out that my ideas were unrealistic or too much ambitious.
I’m not an expert but i know the basics of Keras and TF. The only thing i did was downloading some csvs from the site and using them to predict the present using the data from the past. This kind of elaboration works for periodic data of course (for example i tried “ground zero”). i used simple networks based on LSTM, CNN or MLP.
Knowing that i only have normalized data and monthly reports for 15 years (180 rows, more or less), how can i use one or more of this data? I just need an idea or some kind of reference!