Employee Promotion Prediction

• Predict the future based on specific features.

• Univariate Analysis

  • Only one variable is involved.
  • It's used to figure out how the variables in the dataset are distributed and to extract useful data from them.
  • It can be used to examine both numerical and categorical variable distributions.

• Bivariate Analysis

  • One of the most basic types of quantitative analysis is Bivariate analysis.
  • It entails analyzing two variables in order to determine their empirical relationship.
  • It can be useful for testing simple association hypotheses.

• Feature Scaling

  • Feature scaling is a technique for normalizing a set of independent variables or data features.
  • Data Normalization is another name for feature scaling.
  • It helps in the normalization of data within a particular range.
  • It also helps in the speeding of algorithmic calculations.