Handling Mixed Variables | Feature Engineering
Channel: CampusX
Date: 2021-04-20

When dealing with mixed variables (both numerical and categorical) in feature engineering, strategies involve techniques like one-hot encoding for categorical variables and scaling for numerical ones. These methods ensure compatibility and enhance the effectiveness of mixed variable data in machine learning models.

Code Used : https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day33-handling-mixed-variables

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