Exploratory data analysis and pattern recognition in the AML scenario
Thesis in external company
Reference persons PATRIZIA SEMERARO
Research Groups Probabilita' e applicazioni
Description In the anti-money laundering scenario, the student will conduct an exploratory data analysis on a realistic online gambling dataset. The pipeline will include task of data cleaning, data preparation, statistical analysis and pattern recognition. Basic knowledge of statistics and a programming language (Matlab, Python,R) are preferred.
Deadline 30/06/2023 PROPONI LA TUA CANDIDATURA