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Details for:
Galli S. Feature Selection in Machine Learning with Feature-engine 2022
galli s feature selection machine learning feature engine 2022
Type:
E-books
Files:
2
Size:
12.9 MB
Uploaded On:
Dec. 25, 2022, 11:03 a.m.
Added By:
andryold1
Seeders:
11
Leechers:
1
Info Hash:
FEAEDEB027A8DC130D99974257A405DFF191C16F
Get This Torrent
Textbook in PDF format Learn how to implement various feature selection methods in a few lines of code utilizing the open-source Python library Feature-engine. Feature-engine is an open-source Python library for feature engineering and feature selection. It uses Pandas and Scikit-learn under the hood to engineer and select feature subsets. Feature selection is the process of selecting a subset of features from the total variables in a data set to train machine learning algorithms. Feature selection is key for developing simpler, faster, and highly performant machine learning models. The aim of any feature selection algorithm is to create classifiers or regression models that run faster and whose outputs are easier to understand by their users. In this book, you will find feature selection methods described in scientific literature and used in data science competitions to select the best subsets of predictor variables from your data. These methods extend the feature selection toolkit already provided by Scikit-learn, with additional tools that scale better than wrapper methods, overcome the limitations of statistical methods, and are able to capture feature interaction while handling feature redundancy. We will use the Python libraries Matplotlib, NumPy, Pandas, Scikit-learn and Feature-engine. Who is this book for This book is intended for data scientists with knowledge of machine learning and feature selection who want to learn additional methods that they can use to select features
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Galli S. Feature Selection in Machine Learning with Python...2022.pdf
6.1 MB
Galli S. Feature Selection in Machine Learning with Feature-engine 2022.pdf
6.8 MB
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