Master Scikit-learn for Machine Learning 📊

Scikit-Learn, often abbreviated as sklearn, is a powerful and user-friendly library for machine learning in Python. Its importance lies in its extensive collection of tools and algorithms for data preprocessing, feature selection, model building, evaluation, and deployment. Scikit-Learn's simplicity and consistency make it highly accessible for both beginners and experienced practitioners, facilitating rapid prototyping and experimentation in various machine learning tasks.

This video is a Demo/Free Session from our DSMP 2.0 course. Thanks to our members for allowing us to share this content on Youtube for free. We hope that you find value in this video!

Code - https://colab.research.google.com/drive/1loDInKlSYJffsLo0HoZ9TZuJ87RCk07j?usp=sharing

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✨ Hashtags✨
#machinelearning #sklearn #scikitlearn #campusx #scikitlearntutorialinhindi

⌚Time Stamps⌚

00:00 - Intro
02:06 - What is Sklearn?
03:25 - Features of SK Learn
05:39 - Topics covered within Sklearn
07:15 - Estimators
20:05 - Custom Estimator
23:36 - Code Template
42:15 - Mixins
45:45 - Transformers
51:55 - Custom Transformer
58:05 - Code Application
01:09:10 - Composite Transformers
01:10:52 - Column Transformers
01:25:50 - Feature Union
01:39:35 - Pipeline
01:56:22 - Outro