Course Content
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Day-17: Complete EDA on Google PlayStore Apps
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Day-25: Quiz Time, Data Visualization-4
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Day-27: Data Scaling/Normalization/standardization and Encoding
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Day-30: NumPy (Part-3)
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Day-31: NumPy (Part-4)
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Day-32a: NumPy (Part-5)
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Day-32b: Data Preprocessing / Data Wrangling
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Day-37: Algebra in Data Science
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Day-56: Statistics for Data Science (Part-5)
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Day-69: Machine Learning (Part-3)
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Day-75: Machine Learning (Part-9)
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Day-81: Machine Learning (Part-15)-Evaluation Metrics
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Day-82: Machine Learning (Part-16)-Metrics for Classification
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Day-85: Machine Learning (Part-19)
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Day-89: Machine Learning (Part-23)
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Day-91: Machine Learning (Part-25)
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Day-93: Machine Learning (Part-27)
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Day-117: Deep Learning (Part-14)-Complete CNN Project
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Day-119: Deep Learning (Part-16)-Natural Language Processing (NLP)
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Day-121: Time Series Analysis (Part-1)
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Day-123: Time Series Analysis (Part-3)
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Day-128: Time Series Analysis (Part-8): Complete Project
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Day-129: git & GitHub Crash Course
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Day-131: Improving Machine/Deep Learning Model’s Performance
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Day-133: Transfer Learning and Pre-trained Models (Part-2)
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Day-134 Transfer Learning and Pre-trained Models (Part-3)
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Day-137: Generative AI (Part-3)
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Day-139: Generative AI (Part-5)-Tensorboard
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Day-145: Streamlit for webapp development and deployment (Part-1)
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Day-146: Streamlit for webapp development and deployment (Part-2)
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Day-147: Streamlit for webapp development and deployment (Part-3)
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Day-148: Streamlit for webapp development and deployment (Part-4)
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Day-149: Streamlit for webapp development and deployment (Part-5)
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Day-150: Streamlit for webapp development and deployment (Part-6)
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Day-151: Streamlit for webapp development and deployment (Part-7)
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Day-152: Streamlit for webapp development and deployment (Part-8)
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Day-153: Streamlit for webapp development and deployment (Part-9)
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Day-154: Streamlit for webapp development and deployment (Part-10)
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Day-155: Streamlit for webapp development and deployment (Part-11)
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Day-156: Streamlit for webapp development and deployment (Part-12)
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Day-157: Streamlit for webapp development and deployment (Part-13)
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How to Earn using Data Science and AI skills
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Day-160: Flask for web app development (Part-3)
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Day-161: Flask for web app development (Part-4)
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Day-162: Flask for web app development (Part-5)
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Day-163: Flask for web app development (Part-6)
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Day-164: Flask for web app development (Part-7)
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Day-165: Flask for web app deployment (Part-8)
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Day-167: FastAPI (Part-2)
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Day-168: FastAPI (Part-3)
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Day-169: FastAPI (Part-4)
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Day-170: FastAPI (Part-5)
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Day-171: FastAPI (Part-6)
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Day-174: FastAPI (Part-9)
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Six months of AI and Data Science Mentorship Program
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1106

You have to finish 50 questions in 17 minutes


Created by Dr. Aammar Tufail
How good am I using Pandas for EDA analysis

How good am I in using pandas for Exploratory Data Analysis (EDA)?

Have you already practice pandas library of Python for Doing EDA analysis?

If yes, then this quiz is for you. Attempt and get 80% marks to pass the quiz.

The number of attempts remaining is 3

1 / 50

What is the purpose of the melt function in pandas?

2 / 50

Which parameter would you use with df.plot(kind='box') to plot by a particular column?

3 / 50

What is the method to get the data types of each column in a DataFrame?

4 / 50

What is the purpose of the pivot_table method in pandas?

5 / 50

How would you create a box plot for a specific column using pandas?

6 / 50

Which method is used to sort the index of a pandas DataFrame?

7 / 50

Which method is used to compute pairwise correlation of columns excluding NA/null values?

8 / 50

How would you create a correlation matrix in pandas?

9 / 50

How do you select rows in a DataFrame based on index labels?

10 / 50

Which method is used to reshape a DataFrame using a melt operation?

11 / 50

How would you filter rows in a DataFrame based on a condition?

12 / 50

How would you rename a column in a DataFrame?

13 / 50

Which function is used to replace values given in to_replace with value?

14 / 50

What is the method to display the first 5 rows of a DataFrame?

15 / 50

How do you convert a series of date-strings to a pandas datetime object?

16 / 50

How do you check for missing values in a DataFrame?

17 / 50

Which pandas method is used to calculate pairwise covariance of columns?

18 / 50

Which method is used to round a DataFrame to a variable number of decimal places?

19 / 50

How would you create a box plot for every column in a DataFrame using pandas?

20 / 50

How do you change the data type of a column in pandas?

21 / 50

Which pandas function would you use to create a histogram?

22 / 50

How do you save a plot created using pandas to a file?

23 / 50

Which method is used to merge two DataFrames based on a common column?

24 / 50

How would you convert a pandas DataFrame to a NumPy array?

25 / 50

Why is it important to tackle null values in a dataset during data analysis?

26 / 50

Which method is used to concatenate two DataFrames?

27 / 50

What is the method to drop duplicate rows from a DataFrame?

28 / 50

How do you select a specific column from a DataFrame?

29 / 50

Which method is used to compute descriptive statistics of a DataFrame?

30 / 50

What is the primary use of a box plot in data analysis?

31 / 50

How do you perform data normalization in pandas?

32 / 50

Which method is used to sort a DataFrame based on a specific column?

33 / 50

What is the purpose of the groupby method in pandas?

34 / 50

How would you get the sum of values for each column?

35 / 50

How would you count the number of unique values in a column?

36 / 50

How do you set a pandas option to display a maximum of 10 rows?

37 / 50

Which method is used to drop rows with missing values in pandas?

38 / 50

What is the method to get a random sample of rows from a DataFrame?

39 / 50

How do you set the title of a box plot created using pandas?

40 / 50

Which method is used to get the statistical summary of a DataFrame?

41 / 50

What is the method to calculate the mean of each column in a DataFrame?

42 / 50

Which method is used to drop a specific column from a DataFrame?

43 / 50

Which method is used to reset the index of a DataFrame?

44 / 50

What is the purpose of the cut function in pandas?

45 / 50

How do you fill missing values with a specific value in a DataFrame?

46 / 50

Which method is used to compute a simple cross-tabulation of two (or more) factors?

47 / 50

How would you read a CSV file in pandas?

48 / 50

Which method in pandas is used to write DataFrame to a comma-separated values (csv) file?

49 / 50

How do you set the index of a DataFrame?

50 / 50

Which method is used to return the first n rows of a DataFrame?

Your score is

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About Lesson

Master Pandas and Exploratory Data Analysis (EDA) Through Our Interactive Quiz

Join the conversation
yousuf jawwad 4 weeks ago
9
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yousuf jawwad 4 weeks ago
9
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Muhammad Haris 2 months ago
lll
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Huzaifa Yaqoob 5 months ago
84% in first Attempt
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Ahsan462 5 months ago
nyc
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Aqsa Umar 7 months ago
ll
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Almas Sultana 7 months ago
90 in 2nd attempt 1st attempt got 78
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Naeem Khan 7 months ago
ok
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Abdullah Khan 8 months ago
On my second attempt, i got 100%.
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Zayan Ahmad Ghous 8 months ago
ok
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