Feature Scaling (DP_5)
This functionality normalizes the range of values for different features in the dataset
This process is very important because many machine learning algorithms use the Euclidean distance between two points in their computations, and if the ranges of the features are vastly different, then the algorithm will be sensitive to the feature with the larger range, and may produce unexpected results.
Sample Request
This request scales the feature sets defined in the range of columns for training and testing.
Missing Data
Encode categorical values
POST
https://autogon.ai/api/v1/engine/start
Encodes categorical data on specific columns with specified boundaries
Request Body
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