PREDICTIVE ANALYSIS OF COMPRESSIVE STRENGTH BY USING LINEAR REGRESSION MODEL IN PYTHON
Journal: International Journal of Advanced Research in Engineering and Technology (IJARET) (Vol.11, No. 09)Publication Date: 2020-09-30
Authors : Pavan Kumar Emani Vinay Purohit;
Page : 1091-1097
Keywords : Linear regression; compressive strength; python; predictive analysis.;
Abstract
Python is most widely used language among scientific community and data scientist. Artificial Intelligence, Machine learning, Deep learning and prediction of future trends can be done in python. There are various models to predict the future trends by using gathered data. In this paper predictive analysis of compressive strength is discussed by using linear regression model. Linear regression model was used in already obtained values of compressive strength to predict values of strength in cubes if more numbers of cubes were casted. The predict values by linear regression model in python were well within range of values obtained by performing compressive strength test. The linear regression model was proved efficient in predicting compressive strength of the cubes.
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