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• Training Data: Training data is a set of data used to train a machine learning model. It is a subset of the overall dataset and is used to teach the model how to make predictions by adjusting its internal parameters. The quality and quantity of the traini ... Read More >>
• Weight: In data science, weight refers to the importance or significance of a feature or variable in a machine learning model. Weights are assigned to each feature or variable based on their impact on the output of the model. The higher the weight, ... Read More >>
• Matching: Matching refers to the process of finding the correspondence between two sets of data. In data science, matching is often used to combine data from different sources based on common variables. Matching can be done using various techniques s ... Read More >>