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Practical machine learning in R / Frederick Chukwuka Nwanganga & Mike Chapple

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Material type: Text

TextPublication details: Canada : John Wiley & Sons, 2020Description: 439 pISBN:

Subject(s):

DDC classification:

Contents:

1. Introduction 2. Getting started 3. Classification 4. Evaluating and improving performance 5. Unsupervised learning

List(s) this item appears in: New Arrival Fy 2021-22 | Computer_Fy2021-22

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	UE-Central Library	006.31 N979 (Browse shelf(Opens below))	Available		T16604

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Previous	006.31 An1 An effecient classification scheme for photovoltaic system using machine learning	006.31 H8801 Human and machine learning : visible, explainable, trustworthy and transparent	006.31 H8801 Human and machine learning : visible, explainable, trustworthy and transparent	006.31 N979 Practical machine learning in R	006.31 T689 Fundamentals of machine learning /	006.31 T689 Fundamentals of machine learning /	006.312 J249 Introduction to data mining and analytics with machine learning in R and Python	Next

1. Introduction
2. Getting started
3. Classification
4. Evaluating and improving performance
5. Unsupervised learning

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