Regression Analysis with Python: Discover everything you need to know about the art of regression analysis with Python, and change how you view data

Luca Massaron · Alberto Boschetti

Feb 2016 · Packt Publishing Ltd

About this ebook

Learn the art of regression analysis with PythonKey Features

• [*] Become competent at implementing regression analysis in Python
• [*] Solve some of the complex data science problems related to predicting outcomes
• [*] Get to grips with various types of regression for effective data analysis

Book DescriptionRegression is the process of learning relationships between inputs and continuous outputs from example data, which enables predictions for novel inputs. There are many kinds of regression algorithms, and the aim of this book is to explain which is the right one to use for each set of problems and how to prepare real-world data for it. With this book you will learn to define a simple regression problem and evaluate its performance. The book will help you understand how to properly parse a dataset, clean it, and create an output matrix optimally built for regression. You will begin with a simple regression algorithm to solve some data science problems and then progress to more complex algorithms. The book will enable you to use regression models to predict outcomes and take critical business decisions. Through the book, you will gain knowledge to use Python for building fast better linear models and to apply the results in Python or in any computer language you prefer.What you will learn

• [*] Format a dataset for regression and evaluate its performance
• [*] Apply multiple linear regression to real-world problems
• [*] Learn to classify training points
• [*] Create an observation matrix, using different techniques of data analysis and cleaning
• [*] Apply several techniques to decrease (and eventually fix) any overfitting problem
• [*] Learn to scale linear models to a big dataset and deal with incremental data

Who this book is for

The book targets Python developers, with a basic understanding of data science, statistics, and math, who want to learn how to do regression analysis on a dataset. It is beneficial if you have some knowledge of statistics and data science.

Ratings and reviews

Reading through those free sample chapters and it looks great. Will give it more stars when finish the whole book.

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About the author

Luca Massaron is a data scientist with over a decade of experience in transforming data into high-impact, innovative artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is the author of numerous bestselling books on AI, machine learning, and algorithms. Luca is also a 3x Kaggle Grandmaster who reached number 7 in the worldwide user rankings for his performance in data science competitions. Additionally, he is recognized as a Google Developer Expert (GDE) in AI, Kaggle, and the cloud.

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.