Data Science & Big Data Analysis Discussion

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Question Description

Kindly discuss the relative performance and merits of the following classifiers -

Naïve Bayes

Logistic Regression

Decision Trees

KNN

Support Vector Machine

Random Forest

Explain how Dimensionality Reduction helps improve the classifier performance - Compare accuracy of LDA vs PCA techniques for dimensionality reduction


2 Pages will be enough.

Tutor Answer

Joelda
School: Purdue University

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Running Head: DATA SCIENCE & BIG DATA ANALYSIS DISCUSSION

Data Science & Big Data Analysis Discussion
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DATA SCIENCE & BIG DATA ANALYSIS DISCUSSION

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Naïve Bayes
These are classifiers of machine learning that use the Bayes theory by picking the strong
and independent probabilities that re-found within the features. The thorium was first introduced
in the 1960s as text retrieval and categorization mechanism, over time it has been refined and it
is used in the modern technology to classify may feature in machine learning under a number of
industries such as sports, politics as well as in medical fields.
Logistic Regression
Also referred to as a logic model, it is a probability model that depicts outcomes of events
with the probabilities ranging from zero t...

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