Scikit-Learn Cookbook 2024 pdf epub mobi 电子书

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Scikit-Learn Cookbook 2024 pdf epub mobi 电子书著者简介

Trent Hauck is a data scientist living and working in the Seattle area. He grew up in Wichita, Kansas and received his undergraduate and graduate degrees from the University of Kansas. He is the author of the book Instant Data Intensive Apps with pandas How-to, Packt Publishing—a book that can get you up to speed quickly with pandas and other associated technologies.

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发表于2024-05-21

Scikit-Learn Cookbook 2024 pdf epub mobi 电子书

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中文翻译（非官方） [https://gitee.com/wizardforcel/sklearn-cb] ==========================================================================================================================================================

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出版者:Packt Publishing

作者:Trent Hauck

出品人:

页数:214

译者:

出版时间:2014-11-4

价格:USD 40.49

装帧:Paperback

isbn号码:9781783989485

丛书系列:

图书标签: 机器学习 Python scikit-learn 数据挖掘 python AI 计算机科学计算

Scikit-Learn Cookbook 2024 pdf epub mobi 电子书图书描述

About This Book

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Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works

Use Scikit-Learn to simplify the programming side data so you can focus on thinking

Discover how to apply algorithms in a variety of situations

Who This Book Is For

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If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

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Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.

Scikit-Learn Cookbook 2024 pdf epub mobi 电子书

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