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User sharadyadav1986
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Questions by sharadyadav1986
0
votes
1
answer
What is a Random Forest? How does it work?
asked
Jan 2, 2020
in
Data Science
#random-forest
0
votes
1
answer
Describe in brief any type of Ensemble Learning?
asked
Jan 2, 2020
in
Data Science
#ensemble-learning
0
votes
1
answer
What is Ensemble Learning?
asked
Jan 2, 2020
in
Data Science
#ensemble-learning
0
votes
1
answer
How will you define the number of clusters in a clustering algorithm?
asked
Jan 2, 2020
in
Data Science
#clustering-algorithm
0
votes
1
answer
During analysis, how do you treat missing values?
asked
Jan 2, 2020
in
Data Science
#treat-missing-values
0
votes
2
answers
What are the various steps involved in an analytics project?
asked
Jan 2, 2020
in
Data Science
#analytics--project
0
votes
2
answers
How can outlier values be treated?
asked
Jan 2, 2020
in
Data Science
#outlier-values
0
votes
1
answer
What is Collaborative filtering?
asked
Jan 2, 2020
in
Data Science
#collaborative-filtering
0
votes
4
answers
What are Recommender Systems?
asked
Jan 2, 2020
in
Data Science
#recommender-systems
0
votes
1
answer
What is the difference between Regression and classification ML techniques?
asked
Jan 2, 2020
in
Data Science
#ml-techniques
0
votes
1
answer
What Are the Drawbacks of the Linear Model?
asked
Jan 2, 2020
in
Data Science
#linear-model-drawbacks
0
votes
1
answer
What is Linear Regression?
asked
Jan 2, 2020
in
Data Science
#linear-regression
0
votes
1
answer
What is logistic regression?
asked
Jan 2, 2020
in
Data Science
#logistic-regression
0
votes
1
answer
Suppose we fit “Lasso Regression” to a data set, which has 100 features (X1,X2…X100).
asked
Dec 31, 2019
in
Data Science
#lasso-regression
0
votes
1
answer
Suppose you are training a linear regression model. Now consider these points.
asked
Dec 31, 2019
in
Data Science
#linear-regression
0
votes
1
answer
Suppose we have generated the data with help of polynomial regression of degree 3 (degree 3 will perfectly fit this data).
asked
Dec 31, 2019
in
Data Science
#polynomial-regression
0
votes
1
answer
Which of the following offsets, do we use in case of least square line fit?
asked
Dec 31, 2019
in
Data Science
#vertical-axis
+1
vote
1
answer
A correlation between age and health of a person found to be -1.09. On the basis of this you would tell the doctors that:
asked
Dec 31, 2019
in
Data Science
#corelation
0
votes
1
answer
Generally, which of the following method(s) is used for predicting continuous dependent variable?
asked
Dec 31, 2019
in
Data Science
#continuous-dependent-variable
0
votes
1
answer
To test linear relationship of y(dependent) and x(independent) continuous variables, which of the following plot best suited?
asked
Dec 31, 2019
in
Data Science
#continuous-variables
0
votes
1
answer
Which of the following assumptions do we make while deriving linear regression parameters?
asked
Dec 31, 2019
in
Data Science
#regression-parameters
0
votes
1
answer
Which of the following indicates a fairly strong relationship between X and Y?
asked
Dec 31, 2019
in
Data Science
#correlation-coefficient
0
votes
1
answer
Which of the one is true about Heteroskedasticity?
asked
Dec 31, 2019
in
Data Science
#heteroskedasticity
0
votes
1
answer
Which one of the statement is true regarding residuals in regression analysis?
asked
Dec 31, 2019
in
Data Science
#regression-analysis
+1
vote
1
answer
In a linear regression problem, we are using “R-squared” to measure goodness-of-fit.
asked
Dec 31, 2019
in
Data Science
#linear-regression
+1
vote
1
answer
Let’s say, a “Linear regression” model perfectly fits the training data (train error is zero). Now, Which of the following statement is true?
asked
Dec 31, 2019
in
Data Science
#linear-regression
0
votes
1
answer
Which of the following is/ are true about “Maximum Likelihood estimate (MLE)”?
asked
Dec 31, 2019
in
Data Science
#mle
0
votes
1
answer
Suppose you have the following data with one real-value input variable & one real-value output variable.
asked
Dec 31, 2019
in
Data Science
#cross-validation
0
votes
1
answer
Which of the following step / assumption in regression modeling impacts the trade-off between under-fitting and over-fitting the most.
asked
Dec 31, 2019
in
Data Science
#regression-modeling
0
votes
1
answer
The width of line can be changed by
asked
Dec 30, 2019
in
R Language
#line-width
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