Publication Type : Conference Paper
Publisher : International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018)
Source : International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018), Kolkata , p.631-638 (2018)
Url : https://link.springer.com/chapter/10.1007%2F978-981-13-1951-8_57
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2018
Abstract : This paper proposes a model for predicting the compensation of data science professionals in BRIC nations based on the worldwide Data Science Survey conducted by Kaggle in 2017. In this paper, we have used the Rosling’s approach to adjust the compensation amount in BRIC currencies with respect to Purchasing Power Parity (PPP) units. Exploratory data analysis is used to identify the factors that influence the compensation amount, and an XGBoost algorithm is employed to predict the compensation. We evaluate the performance of the model by generating the Root Mean Squared Log Error (RMSLE) score. The results indicate a robust prediction using the XGBoost algorithm.
Cite this Research Publication : Smibi M.J. and Dr. Vivek Menon, “Modeling Compensation of Data Science Professionals in BRIC Nations”, in International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018), Kolkata , 2018, pp. 631-638.