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An Introduction to Scikit-Learn: Machine Learning in Python

An Introduction to Scikit-Learn: Machine Learning in Python

What is Python Scikit-Learn and what can you do with it? With tutorial and guide, Simplilearn examines what Scikit-Learn is, what it can achieve, and provides a demo on how to use Scikit-Learn in Python. Python Scikit-Learn is a simple, open-source tool for data mining, model building and analysis and can be used for:

  • Classification
  • Regression 
  • Clustering

The tutorial explores the Python Scikit Library and takes you through how to instal Scikit-Learn, as well as how to import a Scikit Data Set and its different functions.

Why Scikit?

Scikit is a modern machine-learning Python library and is considered one of the preferred tools for machine learning as well as fully or semi-automated advanced data analysis and information extraction. It can easily identify and organise problems, contains many free and open data sets, and has a rich set of built-in libraries for learning and predicting. 

Python for Beginners

This tutorial is one of the 47 lessons of Simplilearn’s Python Tutorial for Beginners. dives into a tool supported within the open-source community. Watch the tutorial or read the full article to learn more! 
 

Learning content

Target audience
Digital skills for the labour force.
Digital skills for ICT professionals and other digital experts.
Digital skills for all
Digital skill level
Geographic scope - Country
Austria
Belgium
Bulgaria
Cyprus