Subject Details
Dept     : CSE
Sem      : 4
Regul    : 2019
Faculty : Dr.K.Sangeetha
phone  : NIL
E-mail  : sangithaprakash@gmail.com
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Lecture Notes

UNIT 1:
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Introduction
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CRISP-DM Methodology;
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A Project on Data Analytics - A Little History on Methodologies for Data Analytics
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KDD Process
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Tools and Applications;
UNIT 2:
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Univariate Analysis
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Descriptive Mulitvariate Analysis- Multivariate Frequencies
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Descriptive Mulitvariate Analysis- Multivariate Frequencies
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Univariate Analysis
UNIT 3:
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Distance Measures , Difference between values of common Attribute types
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Distance Measures for objects with Quantitative Attributes
UNIT 4:
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Binary Classification
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Binary Classification
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Predictive Performance Measures for Classification
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Distance-based Learning Algorithms
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Case-based Reasoning; Probabilistic Classification Algorithms
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Logistic Regression Algorithm
UNIT 5:
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DA Applications for Text
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Regression and its types
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Working with Texts