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Data Cleaning Techniques

Data Cleaning techniques

Techniques used:-

  1. Missing Value imputation using Mean and Median values --> Data Clean - Missing Value Imputation-cat vars added.ipynb
  2. By deleting Rows & Columns --> Data Cleaning.ipynb
  3. Using Scikit-learn SimpleImputer --> Data Cleaning_Missing value imputation sklearn.ipynb
  4. Using Scikit-learn SimpleImputer, ColumnTransfer and Pipeline -->
    1. Data Cleaning_Missing value imputation sklearn II.ipynb
    2. Missing value imputation using Scikit-Learn III .ipynb