1. Which type of analytics answers: "What happened?"

2.  What is the difference between AI and ML?

3. Machine Learning is a subset of:

4. Which of the following best describes Artificial Intelligence?

5. What is the main goal of Data Science?

6. Which technology forms the 'brain' of AI, allowing it to learn from data?

7. What is the fundamental difference between Supervised and Unsupervised Machine Learning?

8. A machine learning model is trained to identify emails as 'Spam' or 'Not Spam'. What type of task is this?

9. Who is credited with coining the term 'Artificial Intelligence' in 1956?

10. Which type of data analytics answers the question, 'What will happen next?'

11. what is the primary goal of Unsupervised Learning?

12. Which of the following learns by interacting with an environment through a process of trial-and-error?

13. .What is defined as the ability of machines to mimic human intelligence and make decisions?

14. What is the primary purpose of Data Science as described in the presentation?

15. Predicting the future temperature based on historical data is an example of which supervised learning task?

1. 1.What is the output of this code?
python
my_list = ['p', 'y', 't', 'h', 'o', 'n']
print(my_list[4])

2. 2.What is the data type of the variable result in the following code?
python
result = 10 / 2

3. Which line of code will cause an error?

4. Which of the following is an immutable data type in Python?

5. What best describes a Python list?

6. Which statement about Python strings is true?

7. Which of the following is the correct way to assign the value 10 to a variable named my_variable in Python?

8. What is the primary purpose of the print() function in Python?

9. 5.What is the final value of x?
python
x = 10
if x > 10:
x = x + 5
elif x == 10:
x = x - 5
else:
x = 0

10. What happens if you try to import a module that does not exist in Python?

11. Which keyword is used to define a function in Python?

12. What will be the value of y after the following code executes?
python
x = 5
y = 10
y += x

13. How do you correctly write a for loop that iterates 5 times in Python?

14. Which is the correct way to write an if statement condition in Python?

1. 5. Which function is used to generate evenly spaced numbers?

2. 4. What does ndim return in NumPy?

3. 3. What does np.zeros((2,3)) create?

4. 2. Which of the following creates a NumPy array?

5. What is the main purpose of NumPy in Python?

6. 10. How do you create a DataFrame from a dictionary?

7. 9. What is a Series in Pandas?

8. 8. What will np.mean(np.array([1, 2, 3, 4])) return?

9. 7. How do you reshape a NumPy array?

10. 6. What will np.array([1, 2, 3]) + np.array([4, 5, 6]) return?

11. 15. What does df.dropna() do?

12. 14. How do you check for missing values in a DataFrame?

13. 13. Which method gives you summary statistics of numeric columns?

14. 12. What does df['column_name'] return?

15. 11. Which method displays the first 5 rows of a DataFrame?

1. What is the common range for Min-Max Normalization?

2. What is normalization?

3. Which is a common technique for handling missing values?

4. What is Label Encoding used for?

5. Which method replaces missing values with the average?

6. What is the range of the correlation coefficient?

7. If the correlation between two variables is 1, it means:

8. What does correlation measure?

9. Standard deviation is the square root of:

10. Which measure is least affected by outliers?

11. If the standard deviation is 0, what does it mean?

12. What does variance measure?

13. What is the mode of [2, 2, 3, 4, 4, 4, 5]?

14. What is the median of [1, 3, 5, 7, 9]?

15. What is the mean of the values [2, 4, 6, 8, 10]?