In this project, I have explained some of the Data Preprocessing methods in a Jupyter Notebook. For the sake of easy understanding and to simplify the concepts, I have used a small sample dataset. In the real-world problem, the dataset will be more complex and huge.
I have covered the following topics in this project:
- Handling Missing Data
- Encoding Categorical Data
- Splitting Dataset
- Feature Scaling
To see the project, simply open the Jupyter Notebook: "Data Preprocessing.ipynb"
P.S. I will continue to update this folder with further Data Preprocessing methods.