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Employee_performance_system_Project_005

Client Requirement (Problem statement):

One of the clients has a requirement for Building an analytical system for measuring Employee performance. In recent years, the employee performance indexes are not healthy and this has become a growing concern among the top management. The management has decided to initiate a data science project, which analyses the current employee data and find the core underlying causes of the performance issues. They also expect a clear indicators of non-performing employees, so that any penalization of non-performing employee, if required, may not significantly affect other employee morals.

The following insights are expected from this project:

Q1. Department wise performances. Q2. Top 3 Important Factors effecting employee performance. Q3. A trained model which can predict the employee performance based on factors as inputs. Q4. Recommendations to improve the employee performance based on insights from analysis.

Employee_performance_system_model using classifier [LogReg, RF, KNN, XGboost]

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Employee_performance_system_model using classifier [LogReg, RF, KNN, XGboost]

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