INTRODUCTION TO SCIKIT-LEARN - GitHub Pages

INTRODUCTION TO SCIKIT-LEARN

A Python Package for Machine Learning

August 17, 2021 Prepared by Niti Mishra 1

Agenda

1. What is Scikit-Learn? 2. Machine Learning 3. Installation 4. Hands-on Implementation

2

9/10/2021

What is Scikit-Learn?

What is Scikit-Learn?

1/4

4

9/10/2021

? Scikit-Learn (Sklearn) is a powerful and robust opensource machine learning library for Python.

? Sklearn provides tools for efficient implement of classification, regression, clustering and dimensionality reduction techniques.

? Sklearn has a clean and uniform API as well as complete online documentation.

? Basic knowledge of NumPy, Pandas, SciPy and Matplotlib is required to successfully use Sklearn for machine learning.

What is Scikit-Learn?

1/4

? 2007: Sklearn was initially developed by David Cournapeau as a Google summer code project.

? 2010: Developers from French Institute for Research in Computer Science and Automation took sklearn to another level and made its first public release (v0.1)

? Since then there have been many versions of iterations and improvements. The latest version is 0.24.0.

5

9/10/2021

 ................
................

In order to avoid copyright disputes, this page is only a partial summary.

Google Online Preview   Download