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Answers by john ganales
0
votes
How many objects of a servlet is created?
answered
Apr 11, 2023
in
Servlet
servlet-object
servlet
0
votes
What does SPICE stand for in context with Amazon QuickSight?
answered
Apr 7, 2023
in
Amazon QuickSight
amazon
quicksight
spice
0
votes
How can you load data into Amazon QuickSight?
answered
Apr 7, 2023
in
Amazon QuickSight
amazon
quicksight
load-data
0
votes
Can you tell us about some common use cases for Amazon QuickSight?
answered
Apr 7, 2023
in
Amazon Database
amazon
quicksight
usecases
0
votes
What are the main benefits of using Amazon QuickSight?
answered
Apr 7, 2023
in
Amazon QuickSight
amazon
quicksight
0
votes
What is Amazon QuickSight?
answered
Apr 7, 2023
in
Amazon QuickSight
amazon
quicksight
0
votes
Can you explain what dimensionality reduction is?
answered
Apr 4, 2023
in
Feature Engineering
dimensionality-reduction
0
votes
What are some good rules of thumb for applying transformations to numeric data?
answered
Apr 4, 2023
in
Feature Engineering
transformations
numeric-data
0
votes
What is the best way to select features in supervised learning problems?
answered
Apr 4, 2023
in
Feature Engineering
supervised
learning
problems
0
votes
How do you handle mixed-type data types in Python?
answered
Apr 4, 2023
in
Feature Engineering
mixed-type-data-types
0
votes
What does it mean to bin numerical data? When should we use this technique?
answered
Apr 4, 2023
in
Feature Engineering
bin-numerical-data
0
votes
Can you give me an example of where feature scaling would be required?
answered
Apr 4, 2023
in
Feature Engineering
feature-scaling
0
votes
What are some methods available for selecting features from a large dataset?
answered
Apr 4, 2023
in
Feature Engineering
features
0
votes
Do all features need to be scaled when using machine learning algorithms?
answered
Apr 4, 2023
in
Feature Engineering
machine
learning
algorithms
0
votes
How can imbalanced datasets affect machine learning models?
answered
Apr 4, 2023
in
Feature Engineering
machine-learning-models
0
votes
What are some ways to deal with sparse data?
answered
Apr 4, 2023
in
Feature Engineering
sparse-data
0
votes
What are some different techniques for dealing with categorical variables?
answered
Apr 4, 2023
in
Feature Engineering
techniques-features
0
votes
If there are two correlated variables, which one should you keep?
answered
Apr 4, 2023
in
Feature Engineering
correlated-variables
0
votes
What’s the difference between feature extraction and feature selection? When should each one be used?
answered
Apr 4, 2023
in
Feature Engineering
feature-selection
0
votes
What can be done if you find that most of your features have no predictive power on your target variable?
answered
Apr 4, 2023
in
Feature Engineering
predictive-power
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