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Python Code for Bank Customer Churn Prediction Use Case
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Dataset for Bank Customer Churn Prediction Use Case
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Federal Reserve's time series of foreign exchange rates per dollar.This dataset was generated on the Federal Reserve's Download Data Program. Some changes were made in the dataset, such as header simplifications and inversions of base currency. For e..
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Chaman Lal Sabharwal 1 Abstract Machine Learning (ML) is a branch of artificial intelligence. A learning algorithm is an algorithm that supports the technology to simulate the human learning process. Computers execute algorithms to facilitate tempora..
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Luyang Chen∗ , Markus Pelger† and Jason Zhu‡Abstract We propose a novel approach to estimate asset pricing models for individual stock returns that takes advantage of the vast amount of conditioning information, while keeping a fully flexible form an..
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Abstract Globally, two billion people and more than half of the poorest adults do not use formal financial services. Consequently, there is increased emphasis on developing financial technology that can facilitate access to financial products for the..
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Omer Berat Sezer, Mehmet Ugur Gudelek, Ahmet Murat Ozbayoglu
Financial time series forecasting is, without a doubt, the top choice of computational intelligence for finance researchers from both academia and financial industry due to its broad imple..
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Raden Ali Rakhman, Rosalina Yani Widiastuti, Nilo Legowo, Emil Robert Kaburuan Abstract: In 21st century, the big data revolution is happening and has found its place, also within the banking Industry, Bank can leverage big data analytics to gain dee..
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Vadlamani Ravi1,*[0000-0003-0082-6227] and Sk Kamaruddin1, 2[0000-0002-1887-7391]Abstract. Of late, the financial services industry is fast moving away from the traditional paradigm to the sophisticated digital way of dealing and the customer. Both t..
