HR Analytics using R-Machine Learning Algorithm: Multiple Linear Regression Analysis
A. M. Mahaboob Basha1, J. Srivani2, B. Ankaiah3, U. Dadakalandar4, T. Srinivaslulu5
1Dr. A. M. Mahaboob Basha*, Associate Professor, In Charge- Ho D, Audisankara College of Engineering & Technology (Autonomous) Gudur.
2Mrs. J.Srivani, Associate Professor in Audisankara College of Engineering & Technology (Autonomous), Gudur.
3Mr. B. Ankaiah, Research Scholar, Yogi Vemana University.
4Mr. U. Dadakalandar, Research Scholar, Diorama Simhapuri University, Nellore.
5Mr. T. Srinivaslulu, Associate Professor, in Audisankara College of Engineering & technology(Autonomous), Gudur.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 23, 2020. | Manuscript published on March 10, 2020. | PP: 1179-1183 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2789039520/2020©BEIESP | DOI: 10.35940/ijitee.E2789.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The purpose of empirical research study to know the impact of various HRD practices and its impact on predictor (job satisfaction). The structured survey research instrument was used to gather the data from 500 sample respondents. The questionnaire was validated with pilot study and data was with crone Bach’s alpha reliability test. The results of the outcome validated with R-Machine Learning Algorithm, multiple linear regression analysis with the help of train data and test data (30:70) ratio. Furthermore results reveals corrgram plot, matrix correlation plot and validation of data with validation match test among various HRD practices and it’s inter relationship. The analysis supported with various reviews which include both western and Indian reviews. The study can be generalized to any sector wherever HRD practices can be implemented. The study feasible/applicable to social implications and employee concern problems and related productivity. The study provides new insights to the readers and analysis which was not published by any other in the relevant topic related machine learning algorithm in analytics world.
Keywords: HR Analytics, HR Analytics with Machine Learning, Analytics, Machine Learning Algorithm, Analytics, Human Resource Analytics etc.,
Scope of the Article: Machine Learning