Computers & Technology | Computer Software

MACHINE LEARNING WITH PYTHON. SUPERVISED LEARNING TECHNIQUES: REGRESSION

by J. BROWN

2020-05-26 07:52:12

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In this book, supervised learning techniques related to regression will be developed. More specifically, we will go deeper into the linear models, LASSO regression, LARS LASSO regression, RIDGE Regression, Least Angle Regression, Multitask LASSO regr... Read more
In this book, supervised learning techniques related to regression will be developed. More specifically, we will go deeper into the linear models, LASSO regression, LARS LASSO regression, RIDGE Regression, Least Angle Regression, Multitask LASSO regression, Elastic Net Regression, Multi task Elastic Net Regression, SGD Regression, Support Vector Regression SVR, Robust Regression, Huber Regression, Kernel regression, RANSAC Regression and other supervised techniques based in Regression. Variety of examples are solved from the Python Scikit Learn library. Less

Book Details

File size6.00(w)x9.00(h)x0.48
Print pages208
PublisherIndependently published
Publication date April 29, 2020
ISBN9798641604923
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J. BROWN
Author
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