Machine Learning in Python: Essential Techniques for Predictive Analysis

**Learn a simpler and more effective way to analyze data and predict outcomes

with Python** _Machine Learning in Python_ shows you how to successfully

analyze data using only two core machine learning algorithms, and how to apply

them using Python. By focusing on two algorithm families that effectively

predict outcomes, this book is able to provide full descriptions of the

mechanisms at work, and the examples that illustrate the machinery with

specific, hackable code. The algorithms are explained in simple terms with no

complex math and applied using Python, with guidance on algorithm selection,

data preparation, and using the trained models in practice. You will learn a

core set of Python programming techniques, various methods of building

predictive models, and how to measure the performance of each model to ensure

that the right one is used. The chapters on penalized linear regression and

ensemble methods dive deep into each of the algorithms, and you can use the

sample code in the book to develop your own data analysis solutions.

Machine learning algorithms are at the core of data analytics and

visualization. In the past, these methods required a deep background in math

and statistics, often in combination with the specialized R programming

language. This book demonstrates how machine learning can be implemented using

the more widely used and accessible Python programming language.

Predict outcomes using linear and ensemble algorithm families Build predictive

models that solve a range of simple and complex 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 highly specialized.

Python makes this technology more accessible to a much wider audience, using

methods that are simpler, effective, and well tested. _Machine Learning in

Python_ shows you how to do this, without requiring an extensive background in

math or statistics.