Worker wearing down is a circumstance looked by an association when the representative leaves the organization to
join other association when he shows signs of improvement offer. It can likewise be named as Employee Defection. For the most
part representative whittling down will be high when there is a squeezing need of workers in a specific industry because of mass
retirements or development of association. At a certain point of time programming industry has confronted high whittling down
rate by businesses because of enormous openings comprehensively in the product business because of the interest for
programming items by all enterprises. Lessening the worker steady loss rate is a difficult issue looked by HR supervisors. This
paper gives a definite perspective on foreseeing the representative turnover utilizing the Machine Learning algorithms. The
forecast is finished utilizing the information sourced by IBM HR investigation. We utilized the Logistic Regression for the
expectation and we got 85% exactness
