Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Feature Space

The video tutorial introduces the concept of feature space in machine learning, explaining how features are used to represent data points in a space. It uses examples of categorizing cats and dogs based on height and extends the concept to two and three-dimensional feature spaces. The tutorial emphasizes the importance of converting features to numerical values for machine learning models.

How do you visualize records in a three-dimensional feature space?

What is the relationship between attributes and dimensions in feature space?

Describe the significance of dimensionality in feature space.