Employee Promotion Prediction


In this Project Course you will learn how to Implement a Predictive Model for Identifying the Right Employees deserving Promotion.


What will you learn?

  • You will learn how to Work on Jupyter Notebooks
  • You will learn how to install required Libraries
  • You will learn how to import required Datasets
  • You will learn to summarize the data
  • You will understand how to tackle HR Data
  • You will learn to perform Univariate analysis on the columns present in the dataset.
  • You will learn how to perform Bivariate analysis on the columns present in the dataset.
  • You will learn how to check Correlation using a Heat Map
  • You will learn how to add extra variables in Charts.
  • You will learn How to impute the missing values present in the data set.
  • You will learn how to Treat the outliers present in the data set.
  • You will learn how to perform Feature engineering in the data set.
  • You will learn How to get Useful Insights from Data
  • You will learn how to balance Imbalanced Datasets.
  • You will learn how to perform Feature Scaling
  • You will learn how to Build Predictive Model using Decision Trees
  • You will learn how to analyze the Performance of these Predictive Models.
  • You will analyze the key Findings and Insights to implicate Business Impact.

Who is this Course for?

Employee Promotion Prediction

Course Requirements

Employee Promotion Prediction







Course Curriculum

Section 1
Employee Promotion Prediction
Employee Promotion Prediction

Every Course Comes with…


Every Projects comes with 2-3 hours of video lessons giving you step-by-step solution with explanation of the entire project


You will get the entire project workbooks, datasets, and other resources with it


Build your Project Portfolio by adding these projects to your Online Profiles like GitHub, LinkedIn, Kaggle etc

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