15 Projects on Machine Learning Applications in Finance

The finance and banking industry generates enormous amounts of data related to transactions, billing, and payments from customers, which can provide accurate insights and predictions to be fed to machine learning models. The huge volumes of transaction data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies. There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data. Also, financial services and banking companies have substantial funds that they can afford to spend on state-of-the-art computing hardware needed for the machine learning architecture. With the quantitative nature of the finance sector and large volumes of historical data available, machine learning in finance is poised to enhance several aspects of the industry.