Feature Transformation

When and which feature transformation to use according to data.

The life cycle of the Machine Learning model can be broken down into the following steps.

1. Data Collection
2. Data Preprocessing
3. Feature Engineering
4. Feature Selection
5. Model Building
6. Hyper Parameter Tuning
7. Model Deployment

To build a model we have to preprocess data. Feature Transformation is one of the most important tasks in this process. In the dataset, there will be data with different magnitudes most of the time. So to make our …

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