tablecloth VS scicloj.ml

Another, and definitely better for serious projects, approach is to use https://github.com/scicloj/tablecloth or things that it mentions - tech.ml.dataset and dtype-next.

The forth meeting will be at the end of October and will be dedicated to the Tablecloth dataset manipulation library by generateme, with an intro by Ethan Miller, who is nowadays involved in developing Tablecloth.

I really like geni: it is really idiomatic in its approach to Apache Spark. There are some gaps (no UDFs), and I am not sure that the project is as active as it used to be. But I still use it and find it very nice (I do have Apache Spark background already). tablecloth is an alternative dataframe library that is being used by a lot of folks in the Clojure data science world. For that matter, you should check out scicloj, and also hang out in the data channel in zulip.

At this re:Clojure workshop (Nov. 7th), @ladymeyy taught us about Tablecloth.

In both sessions, we will practice data visualization on a real-world data problem. Among other things, we will try a new data visualization library that Ashima Panjwani is working on. We will assume basic familiarity with Clojure and with Tablecloth. Both sessions will be independent, probably overlapping in content.

We are planning some Scicloj study sessions this weekend about data wrangling with Tablecloth.

And in general for R integration and more data science goodies checkout scicloj and in the vein of dplyr style extremely thought out interfaces I highly recommend tablecloth.

This weekend at #ml-study we will have learning sessions about machine learning with Carsten Behring's scicloj.ml library and some other parts of the emerging data science stack.

In here you find links to the draft user guides, partially in form of tutorials, partially of reference guides. https://github.com/scicloj/scicloj.ml

In the last couple of months, the Clojure story for ML has been reorganizing and evolving, mainly around the amazing work of Carsten Behring. This is the current draft, where most activity takes place: https://github.com/scicloj/scicloj.ml It is not stable yet but is worth learning imho. I think the experience with scicloj.ml is very refreshing, comparing to typical Python ML practices.