Macmillian Limited, a company in Lagos, Nigeria that produces building materials have noticed an employee churn rate of close to 40% on employees after the third year of being at the company. The HR Manager has tried to find out what the issue is but is still not quite sure.

The CEO has proposed calling in a data scientist and making use of the employee data to find out what exactly is going on. As a data scientist, you have been presented with the data describing various conditions surrounding the employees that have been at Macmillian between 1 and 3 years. You have to predict whether the conditions are good (1) or not (0) as this can give insight as to why employees are leaving the company.

Files available for download:

• Train.csv - contains the target. This is the dataset that you will use to train your model.
• Test.csv- resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
• SampleSubmission.csv - shows the submission format for this competition, with the ‘ ‘target’ column containing your predictions. The row order does not matter but the names of the IDs must be correct.