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Regression Analysis with Python by Alberto Boschetti, Luca Massaron

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Preface

 

"Frustra fit per plura, quod potest fieri per pauciora.

(It is pointless to do with more what can be done with fewer)"

 
 --William of Ockham (1285-1347)

Linear models have been known to scholars and practitioners and studied by them for a long time now. Before they were adopted into data science and placed into the syllabi of numerous boot camps and in the early chapters of many practical how-to-do books, they have been a prominent and relevant element of the body of knowledge of statistics, economics, and of many other respectable quantitative fields of study.

Consequently, there is a vast availability of monographs, book chapters, and papers about linear regression, logistic regression (its classification variant), and the different types ...

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