Feature Engineering

Feature engineering is the process of extracting and creating meaningful features from raw data that can be used in machine learning models. It involves the selection, transformation, and construction of features that represent the underlying patterns in the data and capture the characteristics that are relevant to the problem at hand. Feature engineering is a critical step in the machine learning process, as the quality of the features can significantly impact the performance of the model.

Upcoming events

Past events

No past events found.