Produce a report capturing a critically comparison of the performance of different data analytics methods applied to at least 2 related datasets appropriate to the Fintech domain. The overarching focus of the project is to develop a critical understanding of methods with respect to their ability to reveal insights from data sets, but aligned to their performance and application limitation within the Fintech domain.
The application of each method should be applied in order to answer a specific (small-scale) research question aligned to the overall goal(s) of the project. It is also expected that the application of each method is accompanied by an appropriately sized lit review documenting pertinent and contemporary approaches in the literature that can both inform the application of a method as well as justify its potential merit(s).
Projects will be assessed based on their novelty, technical quality, potential impact,
insightfulness, depth, clarity, and reproducibility. Code and data sets are to also be submitted with
the paper. Algorithms and resources used in a paper should be described as completely as possible
to allow reproducibility. This includes experimental methodology, empirical evaluations, and
results. The reproducibility factor will play an important role in the assessment of each
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