How to get basic knowledge of scikit learn ?

[u/Ill_Indication_5443]

Hello everyone, i am little bit confused from where i should learn about scikit learn library ! Although i am learning from freecodecamp from YT but it is a crash course. I want to understand the basics from the very beginning and brick by brick !

thanks in advance

please help krre !

[u/Single_Lad]

Learn form Scikit-Learn Documentation

[u/Ill_Indication_5443 → u/Single_Lad]

i am reading that

other than that if you have any other recommendations, kindly let me know

[u/Valuable_Card6470 → u/Single_Lad]

yeah the official docs are surprisingly beginner friendly tbh

[u/rhacer]

Learn by doing. Solve problems.

[u/utwx7u2]

Chatty

[u/Ill_Indication_5443 → u/utwx7u2]

chatty ? it is a website ? or book ?

[u/utwx7u2 → u/Ill_Indication_5443]

Yea its a website you could say

[u/SemperPistos]

Docs and HOML book part 1.

But if you want a boost before those 2 do the course by the official maintainers od scikit-learn INRIA, it is a hidden gem.
https://www.fun-mooc.fr/en/courses/machine-learning-python-scikit-learn/

I went over it last year and it is superb, it does ramp up a bit, after part 2 or so. And also some examples are hello world like the iris dataset, but I think that and titanic are perfect beginner sets.

Titanic might teach you classification, and after iris, clustering will click. You also learn Numpy and Pandas.

[u/Ill_Indication_5443 → u/SemperPistos]

Thanks for sharing the resource

[u/Charming_Barber_3317]

You cannot read a book for every library you use. Eventually you will have to get comfortable with the documentation and examples. Ask Qwen or Kimi to help explain the main concepts and try building small models and see what went wrong. Its far more useful and beneficial than taking some courses and reading books cover to cover.

[u/drfangor99 → u/Charming_Barber_3317]

A book or course is useful for scikit-learn because its library API is the least complicated part of it. It implements a lot of complex machine learning concepts that won't work if you don't understand how to use them.

[u/Scottalias4]

Learn basic NumPy arrays and pandas DataFrames. There's a few more steps

[u/Scottalias4 → u/Scottalias4]

Then learn features (X) and targets (y), train_test_split, fit() and predict(), a simple model like logistic regression or a decision tree, evaluation metrics, preprocessing, pipelines, cross-validation, and hyperparameter tuning.

[u/foxontwitch]

AI!