Hey, let us first discuss about the next problem.
So this particular problem is regarding the entire dataset, which contains a lot of information about
the particular employee, and it helps us to find out if a particular employee will leave the organization
or not.
So this is basically an employee choice problem.
So this particular dataset contains the satisfaction level of the employee.
Then we have the last evaluation of the employee.
What was the rating which that person has got then?
The number of project that the person is handling.
Next comes the average monthly charge that the person walks, then the time spent in the company, which
is in a number of years, then we have an accident.
If the person herself automobile accident or not, then we have a column which tells about the target
value, which is in the boss and has left the organization or not.
This is what we need to actually predict from this particular model, which we will be building next
is the promotion in the last five years.
So we have this data.
How many promotions has a person had in the last five years?
Next comes the SEALs, or basically the particular domain of the person in which a section of the organization
a person is walking.
If the person is a salesperson or is in a technical role or a product manager or IP or irony or marketing
all those different categories.
And lastly, we have the salary that we have created, different levels of anxiety.
That is, if the person is taking a medium salary, a high salary or low salary.
So this is the data set, which we have.
So let us discuss about the solution in the next section.
But first, please try to solve this problem at zero and then only go towards the solution.