There are two domains in credit risk- retail credit risk & corporate credit risk. Traditional statistical models are used for creating default risk prediction. This study presents dual track Machine Learning pipeline for credit risk prediction compared to old & traditional statistical models. Logistic regression, Light...
Ritesh Phalke, Prakash Ukhalkar, S. Shende· International Conference on...· 0 citations
Predicting the stock indices is a challenging task. The prices are an outcome of decisions taken by millions of agents, and there does not exist a modelling technique that takes into account all aspects of such a process. This paper addresses the above difficulty by developing a forecasting framework using a combinatio...
Suraj Hingane, Prakash Ukhalkar, Abhijeet Kaiwade et al.· International Conference on...· 0 citations
The stock market constitutes a system comprising sellers and buyers who engage in buying and selling shares of publicly listed organizations, with prices constantly changing depending on supply, demand, economic factors, and investor's emotions. Forecasting changes in prices in the stock market is most challenging with...
Ishita Khandelwal, S. Borkar, Prakash Ukhalkar· International Conference on...· 0 citations
The advent of cloud computing has made cloud storage an essential part of today's digital environment that is widely used in healthcare, finance, and public sectors among others to store sensitive information. Nevertheless, the widespread use of cloud storage solutions creates additional risks for the stored informatio...
Rachana V. Mahule, Prakash Ukhalkar· International Conference on...· 0 citations
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