No description available

Python+SQL+Tableau

Absenteeism Predictions using logistic regression.

Absenteeism prediction using Logistic regression

No description available

Predict employee absenteeism using logistic regression- save prediction on MySQL & Tableau Visualization

Employee absenteeism prediction system built using Python, Logistic Regression, MySQL, and Tableau for data-driven workforce analytics.

Analysis and prediction of absenteeism at a work place using a secondary dataset of over 700+ different people, using python, pandas and logistic regression algorithm.

Analysis and prediction of absenteeism at a work place using a secondary dataset of over 700+ different people, using python, pandas and logistic regression algorithm.

Logistic regression pipeline to analyze and predict employee absenteeism using workplace and attendance factors. Includes full EDA, model deployment, and a reusable prediction module.

It includes preprocessing of the Employee dataset using Python queries in Jupyter Notebook and applying Logistic Regression algorithm to predict Excessive Absenteeism of Employees.The regression model is saved and used to make predictions on new data.

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.