How can we make a Machine Learning model to predict health of any bank to avoid fall such as SVB?
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Answers
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we can analyze the data of the bank and examine the various features like saving deposits, loan amount, Fixed deposits, debits, PPF savings and so on and try to find the relation between different features so that we can train our model using machine learning algorithm so that it can predict the health of the bank and preventive measured can be taken to avoid the fall such as SVB
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Banking analytics refers to the use of artificial intelligence and machine learning being applied to customer data to make decisions in the banking sector. Data is analyzed, trends identified, and predictions made.