Machine Learning Data Pre-Processing Templates
Every data project requires clean-up and preparation for the models achieve the best expected outcome. These templates are used during the first modelling phase.
Remember, Garbage In - Garbage Out
Machine Learning Process Diagram (Source:) TowardDataScience.com)
Steps involved in data preprocessing:
- Importing required libraries
- Importing the data set
- Handling the Missing Data.
- Encoding Categorical Data.
- Splitting the data set into test set and training set.
- Feature Scaling
| Template (Direct Link) | Language |
|---|---|
| Basic Data Preprocessing | Python |
| Basic Data Preprocessing | R |
| Categorical Data | Python |
| Categorical Data | R |
| Missing Data | Python |
| Missing Data | R |
More about the templates here