1. What is the difference between supervised and unsupervised learning?

2. Explain overfitting and underfitting. How can you prevent them?

3. What are the key steps in a data science project?

Statistics and Probability:

4. Explain p-value and its significance in hypothesis testing.

5. What is the central limit theorem, and why is it important?

6. How do you check if a dataset is normally distributed?

Question

1. What is the difference between supervised and unsupervised learning?

2. Explain overfitting and underfitting. How can you prevent them?

3. What are the key steps in a data science project?

Statistics and Probability:

4. Explain p-value and its significance in hypothesis testing.

5. What is the central limit theorem, and why is it important?

6. How do you check if a dataset is normally distributed?

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