WEBVTT

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Hey, let us first discuss about the next problem.

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So this particular problem is regarding the entire dataset, which contains a lot of information about

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the particular employee, and it helps us to find out if a particular employee will leave the organization

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or not.

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So this is basically an employee choice problem.

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So this particular dataset contains the satisfaction level of the employee.

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Then we have the last evaluation of the employee.

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What was the rating which that person has got then?

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The number of project that the person is handling.

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Next comes the average monthly charge that the person walks, then the time spent in the company, which

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is in a number of years, then we have an accident.

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If the person herself automobile accident or not, then we have a column which tells about the target

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value, which is in the boss and has left the organization or not.

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This is what we need to actually predict from this particular model, which we will be building next

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is the promotion in the last five years.

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So we have this data.

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How many promotions has a person had in the last five years?

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Next comes the SEALs, or basically the particular domain of the person in which a section of the organization

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a person is walking.

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If the person is a salesperson or is in a technical role or a product manager or IP or irony or marketing

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all those different categories.

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And lastly, we have the salary that we have created, different levels of anxiety.

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That is, if the person is taking a medium salary, a high salary or low salary.

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So this is the data set, which we have.

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So let us discuss about the solution in the next section.

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But first, please try to solve this problem at zero and then only go towards the solution.