Predicting the probability of a person being absent from the work for more than 3 hours a day given his relevant details. Executed SQL statements from python and sent the data from Jupyter to Workbench by connecting them. Analysed the predicted outputs stored in Workbench via Tableau by connecting them.

About Predicting the probability of a person being absent from the work for more than 3 hours a day given his relevant details. Executed SQL statements from python and sent the data from Jupyter to Workbench by connecting them. Analysed the predicted outputs stored in Workbench via Tableau by connecting them.

Software Integration between Python, SQL and Tableau to predict absenteeism at work

I developed a predictive Logistic Regression algorithm in Python using a Work Absenteeism dataset and at the same time integrating it with SQL and Tableau to make visualizations of the predictions and see the relationships of the variables. I will soon post a Medium of the problem analysis.