To Predict the salary of employee based on the information provided in the dataset. Performed EDA, preprocessing, build different models, visualized feature importance, did hyper parameter tunning of each model and did prediction.
Conclusion: According to this model, the predicted value we got, matches with the actual target values. Does the model is performing well. Even though we use only 50000 samples, the model may perform much better when trained on complete dataset.
QUESTION : Mr. Pandey provides the detail of a new hired employee and asks us to predict a range of salary which the company can offer to that employee:
job_type = CTO
degree = Masters
major = Biology
industry = Health
experience = 17
miles from metropolis = 9
SOLUTION : We will fit in these data points into the model and suppose the model provide us the answer as 180In this case we will basically provide the Manager with a range of salaries i.e We can offer him a salary range of 175-190 dollars