AI News, A Gentle Introduction to Scikit-Learn: A Python Machine Learning Library

A Gentle Introduction to Scikit-Learn: A Python Machine Learning Library

If you are a Python programmer or you are looking for a robust library you can use to bring machine learning into a production system then a library that you will want to seriously consider is scikit-learn.

In 2010 INRIA got involved and the first public release (v0.1 beta) was published in late January 2010.

Scikit-learn provides a range of supervised and unsupervised learning algorithms via a consistent interface in Python.

This means a deep focus on concerns such as easy of use, code quality, collaboration, documentation and performance.

Although the interface is Python, c-libraries are leverage for performance such as numpy for arrays and matrix operations, LAPACK, LibSVM and the careful use of cython.

Running this example produces the following output, showing you the details of the trained model, the skill of the model according to some common metrics and a confusion matrix.

If this is a small indication of companies that have presented on their use, then there are very likely tens to hundreds of larger organizations using the library.

recommend starting out with the quick-start tutorial and flicking through the user guide and example gallery for algorithms that interest you.

Scikit Learn Machine Learning SVM Tutorial with Python p. 2 - Example

In this machine learning tutorial, we cover a very basic, yet powerful example of machine learning for image recognition. The point of this video is to get you ...

Sebastian Raschka | Learning scikit learn - An Introduction to Machine Learning in Python

PyData Chicago 2016 This tutorial provides you with a comprehensive introduction to machine learning in Python using the popular scikit-learn library. We will ...

Pre-Modeling: Data Preprocessing and Feature Exploration in Python

April Chen Data preprocessing and feature exploration are crucial steps in a modeling workflow. In this ..

Logistic Regression Machine Learning Method Using Scikit Learn and Pandas Python - Tutorial 31

In this Python for Data Science Tutorial, You will learn about how to do Logistic regression, a Machine learning method, using Scikit learn and Pandas scipy in ...

Predicting Stock Prices - Learn Python for Data Science #4

Only a few days left to signup for my Decentralized Applications course! In this video, we build an Apple Stock Prediction script in 40 ..

Machine Learning with Scikit-Learn - 41 - One Hot Encoding - 2

In this machine learning tutorial we learn about One-Hot-Encoding, which is one of the ways to represent categorical variables. After using a One-Hot-Encoder to ...

Julie Michelman - Pandas, Pipelines, and Custom Transformers

Description Using pandas and scikit-learn together can be a bit clunky. For complex preprocessing, the scikit-learn Pipeline conveniently chains together ...

Getting started in scikit-learn with the famous iris dataset

Now that we've set up Python for machine learning, let's get started by loading an example dataset into scikit-learn! We'll explore the famous "iris" dataset, learn ...

Machine Learning with Python - from Model to Web-Service by Aleksei Tiulpin

Machine Learning with Python - from Model to Web-Service by Aleksei Tiulpin The presentation will describe the basic principles of machine learning: features, ...

Linear and Polynomial Regression in Python

This brief tutorial demonstrates how to use Numpy and SciPy functions in Python to regress linear or polynomial functions that minimize the least squares ...