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Python Question / Quiz;
What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇
What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇
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Python Question / Quiz;
What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇
What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇
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Python Question / Quiz;
What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇
What is the output of the following Python code, and why? 🤔🚀 Comment your answers below! 👇
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Forwarded from Machine Learning with Python
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Question 2 (Intermediate):
What is a common use case for the PCA (Principal Component Analysis) algorithm in machine learning?
A) Hyperparameter tuning
B) Data visualization and dimensionality reduction
C) Gradient descent optimization
D) Model ensembling
#MachineLearning #PCA #DimensionalityReduction #MLQuiz #DataScience
What is a common use case for the PCA (Principal Component Analysis) algorithm in machine learning?
A) Hyperparameter tuning
B) Data visualization and dimensionality reduction
C) Gradient descent optimization
D) Model ensembling
#MachineLearning #PCA #DimensionalityReduction #MLQuiz #DataScience
Question 2 (Advanced):
In machine learning with Python, what does the
A) Controls the shuffling applied to the data before splitting
B) Sets the percentage of data to use for testing
C) Determines the number of CPU cores to use
D) Specifies the type of ML algorithm to apply
#Python #MachineLearning #ScikitLearn #DataScience
In machine learning with Python, what does the
random_state parameter do in scikit-learn's train_test_split() function?A) Controls the shuffling applied to the data before splitting
B) Sets the percentage of data to use for testing
C) Determines the number of CPU cores to use
D) Specifies the type of ML algorithm to apply
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Question 13 (Intermediate):
In NumPy, what is the difference between
A) The first is a 1D array, the second is a 2D row vector
B) The first is faster to compute
C) The second automatically transposes the data
D) They are identical in memory usage
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In NumPy, what is the difference between
np.array([1, 2, 3]) and np.array([[1, 2, 3]])? A) The first is a 1D array, the second is a 2D row vector
B) The first is faster to compute
C) The second automatically transposes the data
D) They are identical in memory usage
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Forwarded from Code With Python
Python.pdf
488 KB
👨🏻💻 An excellent note that teaches everything from basic concepts to building professional projects with Python.
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1. What is the primary data structure in pandas?
2. How do you create a DataFrame from a dictionary?
3. Which method is used to read a CSV file in pandas?
4. What does the
5. How can you check the data types of columns in a DataFrame?
6. Which function drops rows with missing values in pandas?
7. What is the purpose of the
8. How do you filter rows based on a condition in pandas?
9. What does the
10. How can you sort a DataFrame by a specific column?
11. Which method is used to rename columns in pandas?
12. What is the difference between
13. How do you handle duplicate rows in pandas?
14. What function converts a column to datetime format?
15. How do you apply a custom function to a DataFrame?
16. What is the use of the
17. How can you concatenate two DataFrames?
18. What does the
19. How do you calculate summary statistics in pandas?
20. Which method is used to export a DataFrame to a CSV file?
#️⃣ #pandas #dataanalysis #python #dataframe #coding #programming #datascience
By: t.iss.one/DataScienceQ 🚀
2. How do you create a DataFrame from a dictionary?
3. Which method is used to read a CSV file in pandas?
4. What does the
head() function do in pandas? 5. How can you check the data types of columns in a DataFrame?
6. Which function drops rows with missing values in pandas?
7. What is the purpose of the
merge() function in pandas? 8. How do you filter rows based on a condition in pandas?
9. What does the
groupby() method do? 10. How can you sort a DataFrame by a specific column?
11. Which method is used to rename columns in pandas?
12. What is the difference between
loc and iloc in pandas? 13. How do you handle duplicate rows in pandas?
14. What function converts a column to datetime format?
15. How do you apply a custom function to a DataFrame?
16. What is the use of the
apply() method in pandas? 17. How can you concatenate two DataFrames?
18. What does the
pivot_table() function do? 19. How do you calculate summary statistics in pandas?
20. Which method is used to export a DataFrame to a CSV file?
#️⃣ #pandas #dataanalysis #python #dataframe #coding #programming #datascience
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