Predicting Employee Training Success with Machine Learning

This project aims to develop a machine learning model that predicts employee success in training programs. Imagine providing the model with data points such as:

Employee Demographics: Age, education level, experience in the relevant field.

Past Performance: Scores from previous training programs or performance reviews.

Learning Style: Preferred learning methods (visual, auditory, kinesthetic).

Training Program Details: Length, content focus, delivery format (online, in-person).