Assume all the libraries are imported. y is the target and X is the features or dependent variables. Consider.

Standardize the data, perform prediction using a linear regression model

What is the difference between linear regression and multiple linear regression?

Output depends on more than 2 variables

Which of the following is true about regression analysis?

modeling relationships within the data

Consider the following dataframe:

The average price for each body style

Share the output of the given code?

array(‘i’, [1, 2, 3, 4]) [1, ‘abc’, 1.2]

Which statement is true about polynomial linear regression?

the relationship between the parameters or coefficients is linear

In Microsoft Excel, What is the purpose of Macros?

Recording and Performing Same Tasks

Find the output of the following program ?

[1, 3, 4, 5, 6, 7, 10, 11, 12, 13, 18, 19, 21]

Consider the Given Scenario and select the correct answer.

df.rename(index={'A' : 'a', 'B' : 'b', 'C' : 'c' })

Polynomial Regression is a special case of general ___________. It is good for describing _____________________

Linear Regression, Curvi-linear relationship

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Hackathon Mathematics Department

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The programming contest is for students of Mathematics Department. The Hackathon is related to the courses taught.

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Questions 81

Answers

1
Assume all the libraries are imported. y is the target and X is the features or dependent variables. Consider.
Poly transform, standardize, perform a prediction using linear regression
Polynomial transform, then standardize the data.
Standardize the data, perform prediction using a linear regression model
None of these
2
If we increase the order of polynomial, the model fits better, but the model is still not flexible & exhibits under-fit
False
True
3
Why Binning is good in Data Modeling and Analysis ?
Converts numerical value into categorical values
All of These
Group a set of values in smaller no. of bins
Sometimes good for accuracy of predictive models
4
If feature have ranges in different units, what would you do to create good relationships ?
Normalization
Delete the Column
Drop Column in Exploratory Data Analysis
Standardize
5
What is the difference between linear regression and multiple linear regression?
Both are same
Output depends on more than 2 variables
Output depends on two variables
In MLR, we have answers in 0-1
6
which the branch of statistics which deals with the development of statistical methods is classified as ?
Applied Statistics
Industry Statistics
Economic Statistics
None of These
7
Which of the following is true about regression analysis?
modeling relationships within the data
answering yes/no questions about the data
estimating numerical characteristics of the data
describing associations within the data
8
For the Power BI project deployment on web, select the appropriate method ?
All of these
Power BI App
Power BI Service
Power BI Desktop
9
In pandas library, which of the plots gives the idea to data distribution
line plot
Scatter Plot
Box Plot
None of these
10
What would be the output of the given program?
None
52 6 5 36 12 10
5 6 52 36 10 12
5 6 52 36 12 10
11
In Back Propagation, we use activation function to ____
Make it between 0 and 1
All
Assign values in range
Easy to Handle
12
Consider the following dataframe:
The average price for each body style
The Average Body Style
All of these
The average price
13
Test data is used to _____________ the model
evaluate
None
train
validate
14
Plotting a target variable over multiple classes, We need...
heatmap
matplotlib
confusion matrix
groupby
15
Some facts about R^2 value are . . . . .
Between 0 and 1
All of These
R^2 can be negative
R^2 negative due to overfitting
16
What is the name (in Data Science) of variable that we want to predict?
Target
None of These
Results
Feature
17
Given is the program. Select the correct output.
True and False
print(Book['Author'])
Both are True
print(Book.Author)
18
How we can combine all the excel files in a folder using Python libraries?
combine
join
append/concat
merge
19
For the insertion of row in Microsoft Excel Sheet, Which shortcut key is used
Ctrl + Minus
Ctrl + S
Ctrl + Plus
Ctrl + Insert
20
Machine Learning is a technique to achieve Artificial Intelligence?
True
False
21
Probability is likelihood of ____________
A variable repeating
A event occuring
None
A variable
22
Name the group of three scientific computing libraries ?
pandas, matplotlib, scipy
pandas, numpy, seaborn
pandas, seaborn and numpy
pandas, numpy and scipy
23
The realtion between highway miles per galon and price is ?
positive co-variance
positive-linear relationship
negative-linear relationship
negative co-variance
24
Share the output of the given code?
(‘i’, [1, 2, 3, 4]) [1, ‘abc’, 1.2]
None of these
[‘i’, [1, 2, 3, 4,1], [‘abc’, 1.2]]
array(‘i’, [1, 2, 3, 4]) [1, ‘abc’, 1.2]
25
If I want to print the letter 'K' on screen what would be the possible solution?
All of the above
print(String[3])
print("K")
print(String[-2])
26
Two important measures that we often use to determine the fit of a model are:
R-squared Error
All of Two
Mean Square Error (MSE)
None
27
Let X be a dataframe with 100 rows and 5 columns. Let y be the target with 100 samples. By using this code:
500
5
100
0
28
Name the group of algorithmic libraries in Python ?
Scikit-learn
statsmodel
both scikit and stats
None
29
Which of the following statement is incorrect about co-relation coefficent ?
None of These
Close to -1 = Large -ve relationship
Close to +1 = Large +ve relationship
Close to 0 = No relationship
30
The rest of the data called __________ is used as out-of-sample data.
train data
None
validation data
test data
31
R-squared is also ___________________
often use to determine the fit of a model
how close the data is to the fitted regression line
the coefficient of determination
All of These
32
For the analysis of variance which method is used ?
ANOV
^{←\sqrt{s\tan darddeviation}}
Standard Deviation
ANOVA
33
___________________ is a way to bring all data into a similar range, for more useful comparison.
Transformation
Vectorizing
Normalization
Encoding
34
In the data set, which of the following represents an attribute or feature?
Column
Each Element in dataset
Row
All of these
35
Training set is used to _____ the model
All of these
train
test
validate
36
Which statement is true about polynomial linear regression?
It uses wavelets
the relationship between the parameters or coefficients is linear
It is not linear in any way
All of these
37
Select the command for converting the data type of a column in dataframe.
df["price"].astype("int")
df["price"].dtypes( )
df["price"] = int (df["price"])
df["price"] = float (df["price"])
38
In Microsoft Excel, What is the purpose of Macros?
None of These
Copying and Pasting the Tasks
Generating codes to use in Python
Recording and Performing Same Tasks
39
Which one of these skills is not required to become a Data Scientist ?
Data Capture
Mathamatical
Current Affairs
Analysis
40
We find the R-squared value in Python by using _____ method in the linear regression
model.score(x_test, y_test)
model.predict(x_test, y_test)
None of These
model.fit(x_test, y_test)
41
This field mimic the behavior of Humans ?
DS
AI
DL
ML
42
Generalization error is a measure of how well our data does at predicting previously unseen data.
True
False
43
Which of the following library is similar to Pandas ?
numpy
outpy
None of these
rpy
44
Find the output of the following program ?
[1, 3, 4, 5, 6, 7, 10]
[1, 3, 4, 5, 6, 7, 10, 11, 12, 13, 18, 19, 21]
[1, 3, 4, 5, 6, 7, 10, 11, 12]
[1, 3, 4, 5, 21, 7, 10, 10, 12, 13, 18, 19, 6]
45
Consider the Given Scenario and select the correct answer.
df.rename(index=['a', 'b', 'c'] , column = { })
df.rename(index=['A'='a', 'B'='b', 'C'='c'] )
df.rename(index={'A' : 'a', 'B' : 'b', 'C' : 'c' })
df.rename(index=('a', 'b', 'c') )
46
Name the techniques of Normalizing the Data ?
Feature Scaling
Z-Score (Standard Score)
Min-Max Method
All of These
47
Polynomial Regression is a special case of general ___________. It is good for describing _____________________
Logistic Regression, Multi-linear relationship
Linear Regression, Curvi-linear relationship
Linear Regression, None
None of These
48
What is the shape of given dataframe in Python?
(2,5,)
(5,)
(2,5)
(5,2)
49
What do you mean by data pre-processing ?
All of these
Data Cleaning
Identify and Handle Missing Values
Data Wrangling
50
Deep Learning is a subset of Machine Learning inspired by human brain, Artificial Neural Networks (ANN)
False
True
51
Which of the following plots are used to check if a data set or time series is random ?
Lag
None of these
Random
Lead
52
What is third arrow in picture indicating ?
End
Step Size
None
Start
53
Which library is necessary to perform linear regression or logistic regression?
sklearn
Matplotlib
numpy
Pandas
54
Statistical Sampling means ________________
Sampling finite data for analysis
Analysis of data for some time
Sampling finite amount of time
None
55
Write the full form of the given word "csv"
Correct Seperate Value
Comma seperated values
Calculate Seperator Values
Comma Seperate Volume
56
Which of the Foloowing Technique is used in the Normalization Code Given Above ?
Min-Max Method
Z-Score
None of These
Feature Scaling
57
For Data Analysis, we have the following popular tools?
All of these
R
Power BI
Python
58
From the given dataset print the last five rows ?
df.tail()
df.head()
dfh.head(4)
df.columns
59
The picture shows the concept of __________
splitting
Cross-Validation (K-Fold)
All
Training and Testing
60
What is the correct use of the "train_test_split" function such that 40% of samples will be utilized for testing, r=0
train_test_split(x_data, y_data, test_size=0.4, random_state=0)
None
train_test_split(x_data, y_data)
train_test_split(x_data, y_data, test_size=0, random_state=0.4)
61
State the correct version.
This function finds the free parameter alpha
The average R^2 on the test data for each of the two folds.
The predicted values of the test data using cross-validation.
None
62
How we can calulate the sum of all columns as shown in the picture?
df.sum( axis = 1 )
df.sum( axis = 0 )
df.sum
df.sum()
63
You should always use____for Comparing between different models.
Numerical measures
All of These
Visualization
Validation results
64
Bins can be visualized using the type of charts ?
Histogram
Line Plot
Scatter Chart
Bar plot
65
For handling missing values of data, we can do the following?
Replace the Missing values with suitable
Fill the Missing value with Average or Median/Mode
Remove all records with missing values
All of the Above
66
We're using P-Value for measuring the strength of relationship between two variables ? Select Incorrect option
P-Value > 0.1 = Full Certainity
P-Value < 0.001 = Strong Certainity in Result
P-Value < 0.1 = Weak Certainity in Result
P-Value < 0.05 = Moderate Certainity
67
This __________ gives us a good overview of how the different variables are related
Scatter Plot
Co-relation heatmap
Histogram
Confusion Matrix
68
Ridge regression prevents ____________
Underfitting
Outliers
Overfitting
All of these
69
Consider the following dataframe 'class' and state which of folowing is not True?
class.loc['class 1', :]
class.loc[ : , 'boys']
class.loc['boys']
class.loc['class 1']
70
This is called under-fitting, where the model is too simple to fit the data.
True
False
71
Descriptive Statistics means__________
It describes what data looks like
Descriptive analysis
None of the above
Both of above
72
For dataset exploration, How we can check conscise summary of our dataframe ?
df.tail()
df.info()
df.head()
df.describe()
73
True statements:
All of these
ML has little data and DL has Large Quantity
ML has hand crafted features and DL has auto extraction
ML/DL depends on problem
74
Select True points about regression analysis?
All of the above
Modeling relationship within data
Describe associations within the data
Answering Yes/No Questions about data
75
Select the output of the given program?
Both Answers with Sign of List
[24, 35, 9, 56, 12]
None
[24, 56, 35, 9, 12]
76
The larger the mean squared error, the better your model performs:
True
False
77
Selection Bias occurs when____________
None
Wrong size of data selection
Wrong Sample selected
Improper measuring variable selection
78
Which one of these factors does not affect the speed of execution in python?
Dataset Size
Loading Technique
Machine Capabilities
Editor Used
79
We have simple dataframe of slary records of different employees. We want to see all records less than 1500 amount.
df['salary'<=1500]
df.salary(data<=1500)
None of the above
df[df.salary<=1500]
80
df.dropna(subset=['price'], axis = 0)
The above command will remove missing value (delete complete column)
None of These
All of these
The above command will remove missing value (delete rows) from all columns
81
Which type of split is performed in the given picture ?
70-30%
80-20%
30-70%
Zero

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