Ivy - Python Final Assessment

When performing regression or classification, which of the following is the correct way to pre-process the data?

• Normalize the Data->PCA->Training

• PCA → normalize PCA output → training

• Normalize the data → PCA → normalize PCA output → training

• None of the Above

Which of the following metrics and tools are most widely used to assess a classification model?

• Confusion matrix

• Cost-sensitive accuracy

• Area under the ROC curve

• All of the above

Suppose that we have N independent variables (X1,X2… Xn) and dependent variable is Y. Now Imagine that you are applying linear regression by fitting the best fit line using least square error on this data.You found that correlation coefficient for one of it’s variable(Say X1) with Y is -0.95.

Which of the following is true for X1?

• Relation between the X1 and Y is weak

• Relation between the X1 and Y is strong

• Relation between the X1 and Y is neutral

• Correlation can’t judge the relationship

Q) What is the output of the following list function?

sampleList = [10, 20, 30, 40, 50]

sampleList.append(60)

print(sampleList)

sampleList.append(60)

print(sampleList)

• [10, 20, 30, 40, 50, 60]

  [10, 20, 30, 40, 50, 60]

• [10, 20, 30, 40, 50, 60]

  [10, 20, 30, 40, 50, 60, 60]

• [10, 20, 30, 40, 50, 60]

  [10, 20, 30, 40, 60]

• [10, 20, 30, 40, 50, 60]

  [10, 20, 50, 60, 60]

SVM can be used to solve which of the following problem/problems?

• Clustering

• Classification

• Regression

• B & C Both

• A & C Both

Which distance metrics is used by K-Nearest Neighbors to identify the similar(neighboring) records?

• Perpendicular Distance

• Euclidean Distance

• Diagonal Distance

• None of the above

Q: Consider the following elbow curve as shown in the image attached. What is the optimal number of clusters one can conclude from this curve?

• Optimal number is 4 clusters

• Optimal number is 5 clusters

• Optimal number is 6 clusters

• Optimal number is 7 clusters

Which of the following are real world applications of the SVM?

• Text and Hypertext Categorization

• Image Classification

• Clustering of News Articles

• All of the above

• None of the above

Which of the following graph can be used for simple summarization of data?

• Barplot

• Scatterplot

• Overlaying

• All of the above

Q: Consider the image attached and write the code in python needed to create a dataframe that looks as this one?

• DepartmentData=DataFrame({'DOJ': ['12-Mar-2020','2-Feb-2020','15-Jan-2020','23-Apr-2019','14-Sep-2019'],

  'Dep': ['BI','QA','DEV','DEV','QA'],

  'id': [101,102,103,104,105],

  })

• DepartmentData=pd.DataFrame({'DOJ': ['12-Mar-2020','2-Feb-2020','15-Jan-2020','23-Apr-2019','14-Sep-2019'],

  'Dep': ['BI','QA','DEV','DEV','QA'],

  'id': [101,102,103,104,105]

  })

• DepartmentData=pd.DataFrame({DOJ== ['12-Mar-2020','2-Feb-2020','15-Jan-2020','23-Apr-2019','14-Sep-2019'],

  Dep==['BI','QA','DEV','DEV','QA'],

  id== [101,102,103,104,105]

  })

• None of the above