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Summary Data Science and Machine Learning

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This document provides a comprehensive summary of the Data Science and Machine Learning syllabus for the Master of Computer Applications (MCA) program under APJ Abdul Kalam Technical University. It covers key concepts and methodologies, including data preprocessing, statistical analysis, supervised and unsupervised learning techniques, neural networks, natural language processing, and deep learning. The document also emphasizes practical applications, algorithmic implementation, and the integration of tools like Python, R, and SQL for data analysis and machine learning. Designed to serve as a quick reference guide, it ensures a thorough understanding of the theoretical and practical aspects outlined in the syllabus, equipping students with the essential knowledge and skills to excel in the field.

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DATA SCIENCE & MACHINE LEARNING (part -
3)
techworldthink • March 06, 2022




8. What is maximum margin hyperplane.
Margin of a separating line

To choose the “best” separating line, we introduce the concept of the margin of a
separating line. Given a separating line for the data, we consider the perpendicular
distances of the data points from the separating line. The double of the shortest
perpendicular distance is called the “margin of the separating line”.

Maximal margin separating line

The “best” separating line is the one with the maximum margin




The separating line with the maximum margin is called the “maximum margin line”
or the “optimal separating line”. This line is also called the “support vector machine”.




9. Define precision, recall and F-measure.

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