Download BookRegression Analysis with Python

Download Regression Analysis with Python

Download Regression Analysis with Python

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Key FeaturesBecome competent at implementing regression analysis in PythonSolve some of the complex data science problems related to predicting outcomesGet to grips with various types of regression for effective data analysisBook 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 learnFormat a dataset for regression and evaluate its performanceApply multiple linear regression to real-world problemsLearn to classify training pointsCreate an observation matrix, using different techniques of data analysis and cleaningApply several techniques to decrease (and eventually fix) any overfitting problemLearn to scale linear models to a big dataset and deal with incremental dataAbout the AuthorLuca Massaron is a data scientist and a marketing research director who is specialized in multivariate statistical analysis, machine learning, and customer insight with over a decade of experience in solving real-world problems and in generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of Web audience analysis in Italy to achieving the rank of a top ten Kaggler, he has always been very passionate about everything regarding data and its analysis and also about demonstrating the potential of datadriven knowledge discovery to both experts and non-experts. Favoring simplicity over unnecessary sophistication, he believes that a lot can be achieved in data science just by doing the essentials.Alberto Boschetti is a data scientist, with an 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 daily challenges that span from natural language processing (NLP) and machine learning to 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.Table of ContentsRegression – The Workhorse of Data ScienceApproaching Simple Linear RegressionMultiple Regression in ActionLogistic RegressionData PreparationAchieving GeneralizationOnline and Batch LearningAdvanced Regression MethodsReal-world Applications for Regression Models What is Regression Analysis? - Data Science Central Guest blog by Kevin Gray.. Kevin is president of Cannon Gray a marketing science and analytics consultancy. Regression is arguably the workhorse of statistic Logistic regression - Wikipedia In statistics logistic regression or logit regression or logit model is a regression model where the dependent variable (DV) is categorical. This article covers ... Statistics.com - Regression Analysis Software: You will need software that is capable of doing regression analysis which all statistical software does. If you are undecided about which package to choose ... Statistics.com - Course List - Online Courses Course List - Online Courses. Need advice on what which course to take? Contact us with your goals and background and one of our instructors will provide some ... Learning Python for Data Analysis and Visualization Udemy Please confirm that you want to add Learning Python for Data Analysis and Visualization to your Wishlist. Add to Wishlist Bayesian linear regression - Wikipedia In statistics Bayesian linear regression is an approach to linear regression in which the statistical analysis is undertaken within the context of Bayesian inference. Python Data Analysis Library pandas: Python Data ... Python Data Analysis Library pandas is an open source BSD-licensed library providing high-performance easy-to-use data structures and data analysis tools for the ... Regression Analysis: Find the Best Fit for your ... Regression Analysis is a statistical tool that explores the relationship between a dependant variable and one or more independent variables and is used for purposes ... Why ANOVA and Linear Regression are the Same Analysis Why ANOVA and Linear Regression are the Same Analysis. by Karen Grace-Martin Example of logistic regression in Python using scikit-learn Example of logistic regression in Python using scikit-learn. Back in April I provided a worked example of a real-world linear regression problem using R.
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