Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/136905
Title: Data extraction, analysis and prediction using python programming techniques
Authors: Chwee, Norman
Keywords: Engineering::Computer science and engineering::Data
Engineering::Electrical and electronic engineering
Issue Date: 2019
Publisher: Nanyang Technological University
Abstract: Python is a popular programming language that is used in variety of projects such as Predictive analysis to web development. Its flexibility and ability to support third party tools reduces the complexity in otherwise difficult tasks. This project aims to fulfil three objectives using the Python programming language. Firstly, it aims to retrieve data from a musical Big Data source. Secondly, its analysis the data to view possible trending music genre in the gathered data. Lastly, it will attempt to predict the future trend of the music genre based on the analysed data. Methods used in this project will largely base on using multiple Python third-party software and tools to meet the objective of this project. A few methods used is using a web crawler to gather the data, present it in a table format for readability. Then use the data to plot graphs and develop a predictive model that may accurately predict future trends.
URI: https://hdl.handle.net/10356/136905
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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