I am working on a project related to time series data but i have no idea how to identify the variations in plot for eg:- random walk, random walk with drift. I’m not sure about the exact terms but I hope you guys get an idea. My approach here is to identify the type of plot and try to apply different machine learning algorithms to each of the types. So i was wondering if there is a method to analyze these plots and extract relevant information. Any help will be appreciated.
So you’re saying that you need to generate data out of plots?
Yeah, any information to compare it with the other plots for similarity.
Yes, there are several mechanisms for this. Please refer to the Data Visualizations chapter.