I am considering myself pretty good at Knime, but a total Novice at ML. Dont get me wrong, I can download a sample Python script and manipulate it, but that’s about it. And while I wish I had the time and energy, I just don’t right now. My question: Aside from whats on the example server, where can I find some good (easy) examples?
I have millions of reviews with text and a score. I would love to train a model on that data, extract the topics and then be able to classify not rated content.
I have tons of Amazon search ranking data and features (price, discount, keyword frequency, position in title, ratings, sales rank etc.) Would love to train a model to understand what factors matter the most.
I have thousands of social profiles and their post, in a single table with features extracted, some are clear bots, how can I train and then use that model.
I know this is a lot, but any of these examples or a good starting point / script would be super appreciated!