README.md

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