Abstract
In the banking sector, every banking infrastructure contains an enormous dataset for customers’ credit card approval which requires customer profiling. The customer profiling means collection of data related to what customers need. It depends on customers’ basic information like field of work, address proof, credit score, salary details, etc. This process mainly concentrates on predicting approval of credit cards to customers using machine learning. Machine Learning is the scientific study of algorithms and statistical models that computers use to perform specific tasks without any external instructions or interference. In the current trend this process is possible using many algorithms like “K-Mean, Improved K-Mean and Fuzzy C-Means”. This helps banks to have an high profitability to satisfy their customers. However, the currently prevailing system shows an accuracy percentage of about 98.08%. The proposed system aims at improvising the accuracy ratio while using only few algorithms.
Highlights
Machine Learning (ML) means a detailed study of algorithms and scientific models in a scientific manner. This ML is used by computer systems in order to perform a specific task without using outside instructions or explicit instructions
Machine Learning is a subset of Artificial Intelligence (AI) which provides systems the capability to learn automatically and improve from experience without any explicit instruction
Unsupervised Learning means providing the machine with a trained dataset without a specific needed outcome or any explicit instructions
Summary
Machine Learning (ML) means a detailed study of algorithms and scientific models in a scientific manner. This ML is used by computer systems in order to perform a specific task without using outside instructions or explicit instructions. Machine Learning is a subset of Artificial Intelligence (AI) which provides systems the capability to learn automatically and improve from experience without any explicit instruction. It gives importance for developing computer programs which can access data and use those data to learn for themselves.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Engineering and Advanced Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
