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    Machine Learning with scikit-learn Quick Start Guide (ebook)(audiobook)(audiobook) Książka w języku angielskim

    Okładka książki/ebooka Machine Learning with scikit-learn Quick Start Guide

    Okładka książki Machine Learning with scikit-learn Quick Start Guide

    Okładka książki Machine Learning with scikit-learn Quick Start Guide

    Okładka książki Machine Learning with scikit-learn Quick Start Guide

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    164
    3w1 w pakiecie:
    PDF
    ePub
    Mobi

    Ebook

    94,99 zł

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    Do przechowalni

    Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering.

    Key Features

    • Build your first machine learning model using scikit-learn
    • Train supervised and unsupervised models using popular techniques such as classification, regression and clustering
    • Understand how scikit-learn can be applied to different types of machine learning problems

    Book Description

    Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize, and evaluate all of the important machine learning algorithms that scikit-learn provides.

    This book teaches you how to use scikit-learn for machine learning. You will start by setting up and configuring your machine learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine learning models. You will learn classification, regression, and clustering techniques to work with different types of datasets and train your models.

    Finally, you will learn about an effective pipeline to help you build a machine learning project from scratch. By the end of this book, you will be confident in building your own machine learning models for accurate predictions.

    What you will learn

    • Learn how to work with all scikit-learn's machine learning algorithms
    • Install and set up scikit-learn to build your first machine learning model
    • Employ Unsupervised Machine Learning Algorithms to cluster unlabelled data into groups
    • Perform classification and regression machine learning
    • Use an effective pipeline to build a machine learning project from scratch

    Who this book is for

    This book is for aspiring machine learning developers who want to get started with scikit-learn. Intermediate knowledge of Python programming and some fundamental knowledge of linear algebra and probability will help.

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