AI test bed for real business applications

• Main Author: Foo, Xue Yun
• Other Authors: Mohammed Yakoob Siyal
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/157896
• Institution: Nanyang Technological University

Artificial Intelligence (AI) has been receiving increasing interest. Thus, Machine Learning (ML) which is a subfield of AI, has also been an increasingly popular topic among businesses who are interested in incorporating ML into their daily business processes. With the help of ML, businesses are provided with useful insights into their business operations which aid companies in making more informed business decisions. Thus, it is vital to provide more information on ML to businesses interested in adopting AI and ML into their daily operations and processes. The main purpose of the project was to create an AI test bed for real world businesses. Hence, the project explored and tested four ML models and algorithms to create an AI test bed for businesses. Different hyperparameters of Logistic Regression, Random Forest, LSTM and ARIMA algorithm were tuned to train prediction models which will be used to demonstrate how ML can be used in businesses.