State the correct version.

The average R^2 on the test data for each of the two folds.

In Microsoft Excel, What is the purpose of Macros?

Recording and Performing Same Tasks

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)

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

Output depends on more than 2 variables

df.dropna(subset=['price'], axis = 0)

The above command will remove missing value (delete rows) from all columns

Which of the following is true about regression analysis?

modeling relationships within the data

Select True points about regression analysis?

Describe associations within the data

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

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