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Rental Listing Inquiries Classification (Kaggle Competitions Project)

Student: Kazenova Natalia

Supervisor: Maria Poptsova

Faculty: Graduate School of Business

Educational Programme: Big Data Systems (Master)

Final Grade: 9

Year of Graduation: 2017

The main idea of the thesis is to show the standard technics in making predictive model and data analysis, to make the hypotheses about main processes of solving business problems via Kaggle competitions and to check this hypothesis on the competition “Two Sigma Connect: Rental Listing Inquires”. Making the analysis of hypothesis on the study case and its comparison with general hypotheses will reveal the main aspects in solving business problems via competition technics.

Full text (added May 21, 2017)

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