Show pageOld revisionsBacklinksBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. # 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. open/data-preprocessing.txt Last modified: 2024/10/05 06:15by 127.0.0.1