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.