Python Machine Learning Blueprints 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Python Machine Learning Blueprints

简体网页||繁体网页
Alexander T. Combs 作者
Packt Publishing
译者
2016-7-29 出版日期
332 页数
USD 49.99 价格
Paperback
丛书系列
9781784394752 图书编码

Python Machine Learning Blueprints 在线电子书 图书标签: 机器学习  计算机  Python  数据分析  参考资料  美国  Programming  IT   


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发表于2024-06-03


Python Machine Learning Blueprints 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Python Machine Learning Blueprints 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Python Machine Learning Blueprints 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Python Machine Learning Blueprints 在线电子书 用户评价

评分

每章用一个app作为实例讲解,偏重于Pandas数据预处理,能学到不少技巧。

评分

每章用一个app作为实例讲解,偏重于Pandas数据预处理,能学到不少技巧。

评分

關於 Machine Learning 的概念都只是點到為止,但是勝在書裡用來當範例的小專案都超實用,有好幾個就是我之前想做的

评分

關於 Machine Learning 的概念都只是點到為止,但是勝在書裡用來當範例的小專案都超實用,有好幾個就是我之前想做的

评分

每章用一个app作为实例讲解,偏重于Pandas数据预处理,能学到不少技巧。

Python Machine Learning Blueprints 在线电子书 著者简介

Alexander T. Combs 是一位经验丰富的数据科学家、策略师和开发人员。他有金融数据抽取、自然语言处理和生成,以及定量和统计建模的背景。他目前是纽约沉浸式数据科学项目的一名全职资深讲师。


Python Machine Learning Blueprints 在线电子书 图书目录


Python Machine Learning Blueprints 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Python Machine Learning Blueprints 在线电子书 图书描述

Key Features

Put machine learning principles into practice to solve real-world problemsGet to grips with Python's impressive range of Machine Learning libraries and frameworksFrom retrieving data from APIs to cleaning and visualization, become more confident at tackling every stage of the data pipeline

Book Description

Machine Learning is transforming the way we understand and interact with the world around us. But how much do you really understand it? How confident are you interacting with the tools and models that drive it?

Python Machine Learning Blueprints puts your skills and knowledge to the test, guiding you through the development of some awesome machine learning applications and algorithms with real-world examples that demonstrate how to put concepts into practice.

You’ll learn how to use cluster techniques to discover bargain air fares, and apply linear regression to find yourself a cheap apartment – and much more. Everything you learn is backed by a real-world example, whether its data manipulation or statistical modelling.

That way you’re never left floundering in theory – you’ll be simply collecting and analyzing data in a way that makes a real impact.

What you will learn

Explore and use Python's impressive machine learning ecosystemSuccessfully evaluate and apply the most effective models to problemsLearn the fundamentals of NLP - and put them into practiceVisualize data for maximum impact and clarityDeploy machine learning models using third party APIsGet to grips with feature engineering

About the Author

Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.

Table of Contents

The Python Machine Learning EcosystemBuild an App to Find Underpriced ApartmentsBuild an App to Find Cheap AirfaresForecast the IPO Market using Logistic RegressionCreate a Custom NewsfeedPredict whether Your Content Will Go ViralForecast the Stock Market with Machine LearningBuild an Image Similarity EngineBuild a ChatbotBuild a Recommendation Engine

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