data-science

amano 2025-05-11T09:04:37.897199Z

I want to utilize data science without understanding of mathematics and statistics for business data analysis. I know random forest, linear regression, logistic regression, and xgboost conceptually, but I don't know how to actually utilize them, yet. What's the quickest way to learn how to do basic data science in python and/or clojure?

amano 2025-05-12T09:56:27.916459Z

Thanks.

Daniel Slutsky 2025-05-12T10:22:45.397899Z

Another recommendation is to pick up a small project that you are curious about and work on in the open, so you can share your experiments and we may be able to think about together.

Daniel Slutsky 2025-05-11T09:10:46.769629Z

Hi. You may try the Noj documentation: https://scicloj.github.io/noj/ Yesterday we ran a couple of workshops on Noj, and the recordings were shared at the Zulip chat (requires login): https://scicloj.github.io/scinoj-light-1/workshop.html https://clojurians.zulipchat.com/#narrow/channel/479601-scinoj-light-1/topic/recordings/

amano 2025-05-11T09:30:28.756969Z

I have a very high-level conceptual understanding, but I don't know how to use ML algorithms, yet.

Daniel Slutsky 2025-05-11T10:15:42.857329Z

I'd recommend learning some probability & statistics to be able to reason about uncertainty, bias, sampling, etc.

🙂 1
amano 2025-05-11T11:17:10.217869Z

Is there any quick learning material for aspiring data scientists?

Daniel Slutsky 2025-05-11T15:11:21.493569Z

This book by VanderPlas has some nice chapters: https://jakevdp.github.io/PythonDataScienceHandbook/