Weka implements a ton of statistics-based ML algorithms as well as some validation tools and graphs. All you need is some data in almost-CSV format and you can run some statistics analysis on it. This isn’t neural networks so you don’t need neither a powerful GPU nor gigabytes of data. Some tutorials online get useful results with 10-20 entries.
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I began my ML journey fiddling with Weka, it’s a great option for those who want to pick up concepts and explore without having to learn to code at the same time. It got me excited about data science which then led me to R and python. I haven’t looked back at Weka for years at this point, I’m curious how is improved.
Will look into statistical ml, thanks
