What is sklearn library and how to install it

This recipe explains scikit-learn python library and how to install it. Scikit-learn is the opened source python machine learning library. Sklearn provides dozens of machine learning algorithms for example:- regression, classification, clustering and many others.

Recipe Objective - What is sklearn library and how to install it ?

Sklearn is the opened source python machine learning library. This library supports supervised and unsupervised learning as well. It also provides the tools for data preprocessing, model selection, model evaluation, and many other utilities.

Sklearn provides dozens of machine learning algorithms for example:- regression, classification, clustering and many others.

Explore the Must Know Python Libraries for Data Science and Machine Learning.

Links for the more related projects:-

https://www.projectpro.io/projects/data-science-projects/deep-learning-projects
https://www.projectpro.io/projects/data-science-projects/neural-network-projects

Models provided by sci-kit learn:-

1. Regression

2. Classification

3. Clustering

4. Decision Tree

5. Naive Bayes

6. Neural network models (supervised)

7. Model Selection

8. Preprocessing

9. Dimensionality reduction

 

Installation:-

Run this command on the notebook.

! pip install scikit-learn

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