Applying random forest and neural network model to predict customers' behaviors

The overall purpose of this thesis is applying machine learning, random forest and multilayer perceptron specifically, to solve realistic problem. The thesis consists of 3 parts, “Introduction to machine learning” which briefly introduce the concept of machine learning and its application, “Theoreti...

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Main Author: Nguyen, Huong Ly
Other Authors: Tran, Duc Quynh
Format: Final Year Project
Language:English
Published: 2020
Subjects:
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/95163
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Institution: Vietnam National University, Hanoi
Language: English
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spelling oai:112.137.131.14:VNU_123-951632020-10-22T09:17:31Z Applying random forest and neural network model to predict customers' behaviors Nguyen, Huong Ly Tran, Duc Quynh ĐHQGHN - Khoa Quốc tế Neural network Random forest The overall purpose of this thesis is applying machine learning, random forest and multilayer perceptron specifically, to solve realistic problem. The thesis consists of 3 parts, “Introduction to machine learning” which briefly introduce the concept of machine learning and its application, “Theoretical background” presents the concept of classifiers will be used in solving problem, lastly “Case study” applies all above theories into real-life problem. After solving, there are some important values can be concluded, such as interesting insights into dataset and how to build the best possible prediction model, etc. 2020-10-22T09:12:19Z 2020-10-22T09:12:19Z 2020 Final Year Project (FYP) http://repository.vnu.edu.vn/handle/VNU_123/95163 en 50 p. application/pdf
institution Vietnam National University, Hanoi
building VNU Library & Information Center
continent Asia
country Vietnam
Vietnam
content_provider VNU Library and Information Center
collection VNU Digital Repository
language English
topic Neural network
Random forest
spellingShingle Neural network
Random forest
Nguyen, Huong Ly
Applying random forest and neural network model to predict customers' behaviors
description The overall purpose of this thesis is applying machine learning, random forest and multilayer perceptron specifically, to solve realistic problem. The thesis consists of 3 parts, “Introduction to machine learning” which briefly introduce the concept of machine learning and its application, “Theoretical background” presents the concept of classifiers will be used in solving problem, lastly “Case study” applies all above theories into real-life problem. After solving, there are some important values can be concluded, such as interesting insights into dataset and how to build the best possible prediction model, etc.
author2 Tran, Duc Quynh
author_facet Tran, Duc Quynh
Nguyen, Huong Ly
format Final Year Project
author Nguyen, Huong Ly
author_sort Nguyen, Huong Ly
title Applying random forest and neural network model to predict customers' behaviors
title_short Applying random forest and neural network model to predict customers' behaviors
title_full Applying random forest and neural network model to predict customers' behaviors
title_fullStr Applying random forest and neural network model to predict customers' behaviors
title_full_unstemmed Applying random forest and neural network model to predict customers' behaviors
title_sort applying random forest and neural network model to predict customers' behaviors
publishDate 2020
url http://repository.vnu.edu.vn/handle/VNU_123/95163
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