Implementation of Machine Learning Methods to Predict Company Bankruptcy

Student: Gurianov Sergei

Faculty: St. Petersburg School of Physics, Mathematics, and Computer Science

Educational Programme: Big Data Analysis for Business, Economy, and Society (Master)

Year of Graduation: 2020

The work is intended to build a bankruptcy forecasting model. Using various methods of working with empty data and reducing the dimensionality of data, the best model is revealed. There is also an overview of the most significant features. At the end, the model is tested on completely new data.

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