Classical ML Algorithms
Discussions compare classical machine learning methods like SVMs, decision trees, random forests, and scikit-learn, questioning differences, advantages, and alternatives to a featured tool.
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Is this a complicated way of saying "just use k-nearest neighbors"?
Don't forget Hastie & Tibshirani's Elements of Statistical Learning! :)
Looks more like it was found using random forests.
Looks super cool! What's the difference between your tool and using scikit learn? Don't they both let you use unsupervised learning?
Have you thought about the Support Vector Machine?
What's a typical task you do with sklearn? Just trying to get inspired about what it can do
Any particular hypothesis why decision trees work better for you than SVMs?
How is this better than using other frameworks such as scikit learn? it is hard to tell what extra value they provide from the copy on their website.
Why is this better than sci-kit learn?
Not so obvious. In fact, I believe they are using Random Forest.