Machine Learning in Python: Essential Techniques for Predictive Analysis

Overview

Learn a simpler and more effective way to analyze data andpredict outcomes with Python

Machine Learning in Python shows you how to successfullyanalyze data using only two core machine learning algorithms, andhow to apply them using Python. By focusing on two algorithmfamilies that effectively predict outcomes, this book is able toprovide full descriptions of the mechanisms at work, and theexamples that illustrate the machinery with specific, hackablecode. The algorithms are explained in simple terms with no complexmath and applied using Python, with guidance on algorithmselection, data preparation, and using the trained models inpractice. You will learn a core set of Python programmingtechniques, various methods of building predictive models, and howto measure the performance of each model to ensure that the rightone is used. The chapters on penalized linear regression andensemble methods dive deep into each of the algorithms, and you canuse the sample code in the book to develop your own data analysissolutions.

Machine learning algorithms are at the core of data analyticsand visualization. In the past, these methods required a deepbackground in math and statistics, often in combination with thespecialized R programming language. This book demonstrates howmachine learning can be implemented using the more widely used andaccessible Python programming language.

• Predict outcomes using linear and ensemble algorithmfamilies
• Build predictive models that solve a range of simple andcomplex problems
• Apply core machine learning algorithms using Python
• Use sample code directly to build custom solutions

Machine learning doesn't have to be complex and highlyspecialized. Python makes this technology more accessible to a muchwider audience, using methods that are simpler, effective, and welltested. Machine Learning in Python shows you how to do this,without requiring an extensive background in math orstatistics.

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