Q1 What is the primary difference between supervised and unsupervised learning?

A) Supervised learning requires more computational power than unsupervised learning

B) Supervised learning uses labeled data while unsupervised learning works with unlabeled data

C) Unsupervised learning can only be used for classification tasks

D) Supervised learning doesn't require any training data

Q2. Explain the concept of overfitting in machine learning. Include in your answer:

• What is overfitting?
• Why does overfitting occur?
• What are two methods to prevent overfitting?
• Provide a simple real-world example to illustrate the concept.

Your Answer here

Q3. COMPLETE THE CODE

Complete the code to implement

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How AI can help Marketing through Automation - narrated by Hulde

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Artificial intelligence (AI) is reshaping every facet of modern life—from healthcare and finance to education and entertainment. As AI systems become more powerful and pervasive, the ethical considerations surrounding their development and deployment have moved from peripheral concerns to central imperatives. This blog post explores why ethics must be woven into the fabric of AI research, the challenges researchers face, and the emerging frameworks that guide responsible innovation.

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Ethics provides the moral compass that ensures AI technologies serve