Regression Based Prediction of House Prices using Python - Couverture souple

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

9786200080967: Regression Based Prediction of House Prices using Python

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ISBN 10 : 6200080968 ISBN 13 : 9786200080967

Editeur : LAP LAMBERT Academic Publishing, 2019

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2019
Langue: anglais
ISBN 10: 6200080968
ISBN 13: 9786200080967
Reliure: Broch�
Nombre de pages: 72
Coordonn�es du fabricant: non disponible
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Regression Based Prediction of House Prices using Python

Krishna Rao N. V.

Edit� par LAP LAMBERT Academic Publishing Mai 2019, 2019

ISBN 10 : 6200080968 ISBN 13 : 9786200080967

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 72 pp. Englisch. N� de r�f. du vendeur 9786200080967

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Regression Based Prediction of House Prices using Python

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

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Regression Based Prediction of House Prices using Python

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

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Regression Based Prediction of House Prices using Python

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

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Regression Based Prediction of House Prices using Python

Krishna Rao N. V.|Dhana Laxmi B.

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rao N. V. Krishna-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. N� de r�f. du vendeur 290523836

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Regression Based Prediction of House Prices using Python

Krishna Rao N. V.

Edit� par LAP LAMBERT Academic Publishing Mai 2019, 2019

ISBN 10 : 6200080968 ISBN 13 : 9786200080967

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 72 pp. Englisch. N� de r�f. du vendeur 9786200080967

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Regression Based Prediction of House Prices using Python

Krishna Rao N. V.

Edit� par LAP LAMBERT Academic Publishing, 2019

ISBN 10 : 6200080968 ISBN 13 : 9786200080967

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9786200080967

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