Get Data Analysis with Python Certificate from MachineLearning.org.in which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
Exam Details:
- Format: Multiple Choice Question
- Questions: 10
- Passing Score: 8/10 or 80%
- Language: English
Here are the Questions and Answers:
Question 1: What does CSV stand for?
- Comma-separated values
- Car sold values
- Car state values
- None of the above
Question 2: What is the command to display the first five rows of a dataframe df?
- df.head()
- df.tail()
- df.first()
- df.first(5)
Question 3: Consider the dataframe df. What does the command df.rename(columns={‘a’:’b’}) change about the dataframe df?
- Renames column “a” of the dataframe to “b”.
- Renames row “a” to “b”.
- Nothing. You must set the parameter “inplace = True”.
- Replace a with b in entire column
Question 4: Consider the column of the dataframe, df[‘Fuel’], with two values: ‘gas’ and’ diesel’. What will be the name of the new columns pd.get_dumies(df[‘Fuel’]) ?
- 1 and 0
- Just ‘diesel’
- Just ‘gas’
- ‘gas’ and ‘diesel’
Question 5: Consider the dataframe “df”. What method provides the summary statistics?
- df.describe()
- df.head()
- df.tail()
- df.info()
Question 6: What value of R^2 (coefficient of determination) indicates your model performs best?
- -100
- -1
- 0
- 1
Question 7: Which statement is true about polynomial linear regression?
- Polynomial linear regression is not linear in any way.
- Although the predictor variables of polynomial linear regression are not linear, the relationship between the parameters or coefficients is linear.
- Polynomial linear regression uses wavelets.
- All of the above
Question 8: We create a polynomial feature PolynomialFeatures( degree=2). What is the order of the polynomial?
- 0
- 1
- 2
- 3
Question 9: What does K stand for in K mean algorithm?
- Number of clusters
- Number of data
- Number of attributes
- Number of iterations
Question 10: Identify the revision control system on the following.
- Scipy
- Numpy
- Git
- Scikit-Learn