Which technique helps in reducing the dimensionality of data while retaining most of its variability?Review LaterWord CloudLogistic RegressionPrincipal Component AnalysisDecision Tree

Which dimensionality reduction technique is affected by the curse of dimensionality?Review LaterPrincipal Component Analysis (PCA)UMAPt-SNENone of the above

Which of the following techniques would perform better for reducing dimensions of a data set?(1 Point)removing columns which have too many missing valuesremoving columns which have high variance in dataremoving columns with dissimilar data trendsnone of these

.Dimension reduction falls under which data pre-processing type?  A. Data Cleaning  B. Data Integration  C. Data Reduction  D. Data Transformation

True or False: The silhouette score can be used to compare different dimensionality reduction techniques.Review LaterTrueFalse

How does the term "principal component analysis" (PCA) contribute to dimensionality reduction in data analysis?By clustering similar data points togetherBy transforming features into a lower-dimensional spaceBy creating new features based on existing onesBy evaluating feature importance