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Questions by sharadyadav1986
+1
vote
1
answer
Why do we need to convert categorical variables into factor? Which functions are used to perform the conversion?
asked
May 9, 2022
in
Machine Learning
categorical-variables
0
votes
1
answer
What is Regularization? What kind of problems does regularization solve?
asked
May 9, 2022
in
Machine Learning
regularization
0
votes
1
answer
When does regularization become necessary in Machine Learning?
asked
May 9, 2022
in
Machine Learning
regularization
0
votes
1
answer
What do you understand by Underfitting?
asked
May 9, 2022
in
Machine Learning
underfitting
0
votes
1
answer
Why instance-based learning algorithm sometimes referred to as Lazy learning algorithm?
asked
May 9, 2022
in
Machine Learning
instance-based-learning
0
votes
1
answer
Which are the two components of Bayesian logic program?
asked
May 9, 2022
in
Machine Learning
bayesian-logic-program
0
votes
1
answer
What do you understand by Cluster Sampling?
asked
May 8, 2022
in
Machine Learning
cluster-sampling
0
votes
1
answer
What are the similarities and differences between bagging and boosting in Machine Learning?
asked
May 8, 2022
in
Machine Learning
bagging
boosting
0
votes
1
answer
What is Bagging and Boosting?
asked
May 8, 2022
in
Machine Learning
bagging
boosting
+1
vote
1
answer
Explain True Positive, True Negative, False Positive, and False Negative in Confusion Matrix with an example.
asked
May 8, 2022
in
Machine Learning
confusion-matrix
0
votes
1
answer
What do you understand by the Confusion Matrix?
asked
May 8, 2022
in
Machine Learning
confusion-matrix
0
votes
1
answer
How will you explain a linked list and an array?
asked
May 8, 2022
in
Machine Learning
linked-list
+3
votes
1
answer
What is SVM in machine learning? What are the classification methods that SVM can handle?
asked
May 8, 2022
in
Machine Learning
svm
machine-learning
0
votes
1
answer
What are the functions of Unsupervised Learning?
asked
May 8, 2022
in
Machine Learning
unsupervised-learning
0
votes
1
answer
What are the functions of Supervised Learning?
asked
May 8, 2022
in
Machine Learning
supervised-learning
+1
vote
1
answer
What do you understand by Decision Tree in Machine Learning?
asked
May 8, 2022
in
Machine Learning
decision-tree
+2
votes
1
answer
What are the necessary steps involved in Machine Learning Project?
asked
May 8, 2022
in
Machine Learning
machine-learning
0
votes
1
answer
What do you understand by ILP?
asked
May 8, 2022
in
Machine Learning
ilp
0
votes
1
answer
What are the common ways to handle missing data in a dataset?
asked
May 8, 2022
in
Machine Learning
missing-dataset
0
votes
1
answer
Describe 'Training set' and 'training Test'.
asked
May 8, 2022
in
Machine Learning
training-set
training-test
0
votes
1
answer
What according to you, is the standard approach to supervised learning?
asked
May 8, 2022
in
Machine Learning
supervised-learning
0
votes
2
answers
What is a model selection in Machine Learning?
asked
May 8, 2022
in
Machine Learning
model-selection
0
votes
1
answer
What are the five popular algorithms we use in Machine Learning?
asked
May 7, 2022
in
Machine Learning
machine-learning-algorithms
0
votes
1
answer
How do classification and regression differ?
asked
May 7, 2022
in
Machine Learning
classification
regression
0
votes
1
answer
What do you understand by Reinforcement Learning technique?
asked
May 7, 2022
in
Machine Learning
reinforcement-learning-technique
+1
vote
1
answer
What are the different types of Algorithm methods in Machine Learning?
asked
May 7, 2022
in
Machine Learning
machine-learning-algorithms
+1
vote
1
answer
How does Machine Learning differ from Deep Learning?
asked
May 7, 2022
in
Machine Learning
machine-learning
0
votes
1
answer
What is the method to avoid overfitting?
asked
May 7, 2022
in
Machine Learning
overrfitting
+1
vote
1
answer
Why overfitting occurs?
asked
May 7, 2022
in
Machine Learning
overfitting
0
votes
1
answer
What is the meaning of Overfitting in Machine learning?
asked
May 7, 2022
in
Machine Learning
overrfitting
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