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Machine Learning Interview Questions and Answers
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Questions
Machine Learning
0
votes
The MFDM executive model life cycle has phases.
asked
May 15, 2020
in
Machine Learning
by
anonymous
#mfdm
Machine-Learning-questions-answers
0
votes
What is meant by object point and background point in image Processing?
asked
May 7, 2020
in
Machine Learning
by
SakshiSharma
#object-point
#image-background-point
#image-object-point
Machine-Learning-questions-answers
0
votes
The MFDM™ Execution Model life cycle has __________ phases.
asked
May 2, 2020
in
Machine Learning
by
James
mfdm-phases
mfdm-stages
Machine-Learning-questions-answers
0
votes
Machine Learning is a subset of __________.
asked
May 2, 2020
in
Machine Learning
by
James
#machine-learning-subset
Machine-Learning-questions-answers
0
votes
Implement the KNN classification algorithm.
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#knn-classification
knn-classification-algorithm
Machine-Learning-questions-answers
0
votes
What is SVM (Support Vector Machines)?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#support-vector-machines
Machine-Learning-questions-answers
0
votes
Executing a binary classification tree algorithm is a simple task. But, how does a tree splitting take place?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#classification-tree
Machine-Learning-questions-answers
0
votes
How to Standardize data?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#standardize-data
Machine-Learning-questions-answers
0
votes
What is Binarizing of data? How to Binarize?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#binarizing
#binarizing-data
Machine-Learning-questions-answers
0
votes
What is Rescaling of data and how is it done?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#rescaling
Machine-Learning-questions-answers
0
votes
What is ROC curve and what does it represent?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#roc
#roc-curve
Machine-Learning-questions-answers
0
votes
Suppose, you found that your model is suffering from high variance. Which algorithm do you think could handle this situation and why?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#machine-learning-algorithm
Machine-Learning-questions-answers
0
votes
Both being tree-based algorithms, how is Random Forest different from Gradient Boosting Algorithm (GBM)?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#gbm
#gradient-boosting-algorithm
Machine-Learning-questions-answers
0
votes
What is Dimensionality Reduction?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#dimensionality-reduction
Machine-Learning-questions-answers
0
votes
Explain the difference between KNN and K-means Clustering.
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#knn
#k-means
Machine-Learning-questions-answers
0
votes
What is a Decision Tree?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#decision-tree
Machine-Learning-questions-answers
0
votes
Why do we need a validation set and a test set?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#validation-dataset
Machine-Learning-questions-answers
0
votes
How can you avoid overfitting?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#overlifting
Machine-Learning-questions-answers
+1
vote
We know that one hot encoding increases the dimensionality of a dataset, but label encoding doesn’t. How?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#dataset-dimensionality
Machine-Learning-questions-answers
0
votes
Why rotation is required in PCA? What will happen if you don’t rotate the components?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#pca-rotation
Machine-Learning-questions-answers
0
votes
Explain Principal Component Analysis (PCA).
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#principal-component-analysis
#pca
Machine-Learning-questions-answers
0
votes
How do you handle the missing or corrupted data in a dataset?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#machine-learning-dataset
Machine-Learning-questions-answers
0
votes
Imagine, you are given a dataset consisting of variables having more than 30% missing values.
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#machine-learning
Machine-Learning-questions-answers
0
votes
Explain Logistic Regression.
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#logistic-regression
Machine-Learning-questions-answers
0
votes
When should you use classification over regression?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#regression-classification
Machine-Learning-questions-answers
0
votes
What do you understand by Type I and Type II errors in machine learning?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#machine-learning-types
Machine-Learning-questions-answers
0
votes
What is a Confusion Matrix?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#confusion-matrix
Machine-Learning-questions-answers
+1
vote
Explain false negative, false positive, true negative, and true positive with a simple example.
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#machine-learning-examples
Machine-Learning-questions-answers
0
votes
What is Variance Inflation Factor?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#variance-inflation-factor
Machine-Learning-questions-answers
0
votes
What are Bias and Variance?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#bias
#variance
Machine-Learning-questions-answers
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