All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.
All our activities include solutions with explanations on how they work and why we chose them.
True or False: Feature selection is the process of randomly choosing any subset of features from the dataset.
True or False: Dimensionality reduction is a technique used in feature engineering to increase the number of features in the dataset.
True or False: Feature engineering involves creating new features by combining or transforming existing ones to enhance the model's performance.
True or False: Features that exhibit high discriminative power are typically highly correlated with each other.
This project is part of
Introduction to Supervised Learning with scikit-learn
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