Questions
Data Science Principles (202504-LLecture)
Single choice
The use of t-SNE in EDA is primarily for:
Options
A.a. Correcting missing data
B.b. Reducing data dimensionality while preserving local structure
C.c. Encoding categorical variables
D.d. Predicting outcomes
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Step-by-Step Analysis
When we talk about t-SNE in the context of Exploratory Data Analysis (EDA), several potential interpretations might come to mind, so it's helpful to evaluate each option.
Option a: "Correcting missing data". This is not what t-SNE does. Data imputation or methods like mean/mode replacement, k-NN imputation, or model-based imputation are used to handle missing values,......Login to view full explanationLog in for full answers
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