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The MFDM executive model life cycle has phases.
asked
May 15, 2020
in
Machine Learning
by
anonymous
#mfdm
Machine-Learning-questions-answers
0
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0
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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
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1
answer
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
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1
answer
Machine Learning is a subset of __________.
asked
May 2, 2020
in
Machine Learning
by
James
#machine-learning-subset
Machine-Learning-questions-answers
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1
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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
1
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What is SVM (Support Vector Machines)?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#support-vector-machines
Machine-Learning-questions-answers
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votes
1
answer
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
1
answer
How to Standardize data?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#standardize-data
Machine-Learning-questions-answers
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votes
1
answer
What is Binarizing of data? How to Binarize?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#binarizing
#binarizing-data
Machine-Learning-questions-answers
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1
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What is Rescaling of data and how is it done?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#rescaling
Machine-Learning-questions-answers
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votes
1
answer
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
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votes
1
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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
1
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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
1
answer
What is Dimensionality Reduction?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#dimensionality-reduction
Machine-Learning-questions-answers
0
votes
1
answer
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
1
answer
What is a Decision Tree?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#decision-tree
Machine-Learning-questions-answers
0
votes
1
answer
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
2
answers
How can you avoid overfitting?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#overlifting
Machine-Learning-questions-answers
+1
vote
1
answer
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
1
answer
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
1
answer
Explain Principal Component Analysis (PCA).
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#principal-component-analysis
#pca
Machine-Learning-questions-answers
0
votes
2
answers
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
1
answer
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
1
answer
Explain Logistic Regression.
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#logistic-regression
Machine-Learning-questions-answers
0
votes
1
answer
When should you use classification over regression?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#regression-classification
Machine-Learning-questions-answers
0
votes
1
answer
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
1
answer
What is a Confusion Matrix?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#confusion-matrix
Machine-Learning-questions-answers
+1
vote
1
answer
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
1
answer
What is Variance Inflation Factor?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#variance-inflation-factor
Machine-Learning-questions-answers
0
votes
1
answer
What are Bias and Variance?
asked
Jan 18, 2020
in
Machine Learning
by
sharadyadav1986
#bias
#variance
Machine-Learning-questions-answers
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