Very cool idea. I can't wait to play with this. I've sold similar "productized services" as a consultant. Most businesses benefit from churn, revenue/expense forecasting, and stack-rank models but not to the degree where paying in-house makes sense. I was typically brought in as part of the fund-raising process.<p>What is your business model?
I have mix feelings. On one hand, this is pretty awesome in the sense more people should have access to different ML easier. But on the other hand, I’m guessing the people who can’t pipe a csv to pandas + scikit will probably neglect important steps like data processing and output interpretation like balanced accuracy vs accuracy.
I just want to say that I love this. I’m not your target audience, but I think the idea and execution are pretty damn neat and I hope you succeed.<p>I’d try to put some focus on helping users who aren’t ML savvy understand the different algorithms and hyperparameters, the choice can be confusing otherwise.
as a warning, I've heard that the big spreadsheet makers considered this and eventually passed on the idea. I believe the logic is that spreadsheet users don't understand ML, and if you want to do ML, you probably know how to export a spreadsheet.