This is my first time posting on a forum anywhere for anything, so please bare with me if the format of my post isn’t quite right.
I have only started learning how to use the KNIME analytics platform briefly during the past 6-7 months, basically just basic classification stuff, and selected a topic for my masters dissertation pertaining to use of the platform to formulate and exhibit the benefits of using machine learning algorithsm and predictive analytics to observe and forecast Bitcoin and Ethereum price trends.
To my mistake, I didn’t - and don’t currently - have anywhere near even a half-way understanding of how to properly build, execute and interpret the KNIME workflows/method/nodes/etc that I have been reading about annd working with these past months directly in relation to my project setup.
My advisor for my project has been on vacation from May and will be still until the week before I have to turn this in (end of September) and I have no other professionals to turn to (because everyone at my uni is on vacation and not answering emails - even the department head - I tried). I have finally decided to post here in hopes that maybe, albeit late and a last ditch effort, I might be pointed in a more productive direction than that I have been going in myself. I am here to beg the aid of the fine, intelligent KNIME community that I have been silently perusing for information and ideas in the background - until now!
I don’t know a thing about programming or coding (no experience with R, Python, Java/JS, etc.).
I have referenced and tried to test my data and process it with several KNIME examples available within the platform example hub (time series, MLP, GBTs, Neural Nets, etc etc so on) but in the end I don’t think I really understand what I’m doing. I get numbers, scores, stuff, cool. Looks all nice and dandy. Line plots seem to make sense, I guess. But in the end, I keep finding myself thinking “What the heck am I doing? What does this all mean? Why am I/why am I not getting these numbers?”
I am really interested in the whole time-series analysis method but I don’t understand some of it (like the lag columns - what are their purposes? Why do you want duplicates when concatenating in preprocessing?). --> this one specifically 02_Example_for_Predicting_Time_Series
If anyone could expand on that, it would be a huge help for me I think.
In general, classification stuff (Decision trees/ensemble learners) make enough sense to me (like predicting if something is a fruit or a vegetabel based on x data etc.), but numerical value prediction? What? I am really uncomfortable with it.
If anyone would like to take a bleak stab at correcting me or giving me any tips or hints. I can post or email you my paper and/or workflows so far. I am pretty embarassed to have extremely novice work critiqued on a forum such as this, but at this point I would 9000% be willing to withstand any shame I might be put to for my shoddy and unprofsesional work.
If anyone takes the time to read this long-winded and probably confusing query, then thank you already enough for that, since your time is precious. Regardless, I’ll keep plugging away to make something work. Even just linking me whatever examples from anywhere that you think might help open my eyes a little bit more is appreciated.
tl;dr I have no idea what I am doing with predicting/forecasting cryptocurrency price movements using KNIME because of my inexperience. Pleae advise.
Have a great day.