The project consists of data about employees, and through this data, I can predict whether they might get promoted or not.
Challenges and Solutions: Challenges included having incomplete rows and duplicate rows. I was able to complete the missing rows, delete the duplicate rows, and reduce the outlier values.
Results: I was able to achieve an accuracy of over 95% and build a good mode