Verwandte Artikel zu Regression Based Prediction of House Prices using Python

Regression Based Prediction of House Prices using Python - Softcover

Rao N. V., Krishna; Laxmi B., Dhana

 
9786200080967: Regression Based Prediction of House Prices using Python
Softcover
ISBN 10: 6200080968 ISBN 13: 9786200080967
Verlag: LAP LAMBERT Academic Publishing, 2019

Inhaltsangabe

Regression is a measure of the relation between the mean value of one variable and corresponding values of other variables. In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships among variables. The multiple linear regression explains the relationship between one continuous dependent variable (y) and two or more independent variables (x1, x2, x3... etc).This project uses multiple linear regression for estimating house price based on area in square feet and number of bed rooms. This project creates the needed GUI (Graphical User Interfaces) by using PyQt tool. PyUIC tool is used for automated generation of the code. This project is implemented through three modules: Data entry module, is used to provide the needed data to the project. The Analysis module is used to analyze and predict the house prices, based on the customer needs. The Front end module is used to create the needed GUI screens for the project. This Project uses PyQt tool to create the needed Graphical User Interfaces. PyQt is a Python binding of the cross-platform GUI toolkit Qt, implemented as a Python plug-in.

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Über die Autorin bzw. den Autor

¿Mr.N.V.Krishna Rao Assistant Professor of Department of CSE working at Institute of Aeronautical Engineering College,Hyderabad.He has vast experience in teaching C and Data Structures. ¿Ms.B.Dhanalaxmi is working as Assistant Professor at IARE in Information Technology Department. She has research experience in Data Mining and Big Data Analytics.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
6200080968
ISBN 13 
9786200080967
Einband
Taschenbuch
Anzahl der Seiten
72
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Betascript Publishing
customerservice@vdm-vsg.de

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