Data Preprocessing

• Handle Missing values
• Handle Outliers
• Select Dependent & Independent value
• Split train & test set
• Scaling

In any Machine Learning process, Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it. In other words, the features of the data can now be easily interpreted by the algorithm.