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Data science projects with Python : a case study approach to successful data science projects using Python, pandas, and scikcit-learn /
By: Klosterman, Stephen [author.].
Publisher: Birmingham : Packt Publishing, 2019Description: iv, 353 pages, 10 unnumbered pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 1838551026; 9781838551025.Subject(s): Python (Computer program language) | Machine learning | Data mining | Information visualizationDDC classification: 006.33
Contents:
Preface -- Data exploring and cleaning -- Introduction to Scikit-Learn and Model evaluation -- Details of logistic regression and feature exploration -- The bias-variance trade-off -- Decision trees and random forests -- Imputation of missing data, financial analysis and delivery to client.
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Standard Loan
|
ATU Sligo Yeats Library Main Lending Collection | 006.33 KLO (Browse shelf(Opens below)) | Available | 0082391 |
Total holds: 0
Includes index.
Preface -- Data exploring and cleaning -- Introduction to Scikit-Learn and Model evaluation -- Details of logistic regression and feature exploration -- The bias-variance trade-off -- Decision trees and random forests -- Imputation of missing data, financial analysis and delivery to client.