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This project uses machine learning to predict and analyze employee attrition in Company.By developing three predictive models,it identifies key factors influencing turnover,providing actionable insights to mitigate attrition challenges.The analysis focuses on enhancing job satisfaction,work-life balance and career growth opportunities.
With imbalanced observed data, a search for the best model is conducted. The bank is seeing its customers leave. Wondering if there are patterns to their decision to exit, the bank wishes to anticipate for this trend. When the positive class is the minority in an imbalanced dataset, a model need to be trained for robustness.
This magical tool estimates car prices with a Linear Regression model, trained on Quikr Car listings. Powered by Python and scikit-learn, it considers company, model, year, and mileage. Simply input your car's details and get an instant price prediction!
Problem to solve: Predict if a candidate would be hired based on specific characteristics; what are the most important features a candidate must have to have higher possibilities of getting the job?