Machine Learning Course Assignments 2024(Dec)

 Machine Learning Course Assignments 2024

1)  Explain the concept of "generalization" in machine learning. Why is it a central goal in pattern recognition?

2)  What are the three main types of machine learning problems?Explain?

3)  What are the three components of a classification problem?

4)You have a Pandas DataFrame containing data on customer orders. Write Python code to export this DataFrame to:

○A CSV file named 'customer_orders.csv', without writing the index column.

○A tab-delimited text file named 'customer_orders.txt', also without the index column

5) Describe the difference between the map() and apply() methods in Pandas. Provide examples demonstrating their usage.

6)How do Bayesian and frequentist approaches contrast in machine learning?

7) What are some advantages of Bayesian methods?

8) Different types of the clustering techniques?

9)What are the limitations of maximum likelihood estimation?