Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Activity-Dimensionality Reduc

The video tutorial discusses the concept of overfitting in data science and machine learning. It emphasizes understanding overfitting and its relationship with dimensionality reduction. The tutorial encourages exploration of whether these concepts are linked or independent, culminating in an activity to deepen understanding.

What is overfitting in the context of data science?

How does overfitting relate to dimensionality reduction?

Can you explain the concept of dimensionality reduction?

Is there a link between overfitting and dimensionality reduction?

What activities can help in understanding overfitting and dimensionality reduction?