Which statement is true about polynomial linear regression?

the relationship between the parameters or coefficients is linear

Consider the Given Scenario and select the correct answer.

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

Select True points about regression analysis?

Describe associations within the data

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

Output depends on more than 2 variables

Consider the following dataframe:

The average price for each body style

In Microsoft Excel, What is the purpose of Macros?

Recording and Performing Same Tasks

Statistical Sampling means ________________

Sampling finite data for analysis

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)

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

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