Subject Details
Dept     : CSE
Sem      : 4
Regul    : R2019
Faculty : Ragavi priya S
phone  : NIL
E-mail  : ragavi.s.cse@snsct.org
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Lecture Notes

UNIT 1:
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Big Data and Data Science
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A Little History on Methodologies for Data Analytics
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KDD Process, CRISP-DM Methodology
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Data Analytic- Types, Tools and Applications
UNIT 2:
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Descriptive Statistics
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Descriptive Multivariate Analysis
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Multivariate Frequencies
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Data Quality
UNIT 3:
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Distance Measures
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Distance Measures for Non-conventional Attributes
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Clustering Validation
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K-means, Centroids and Distance Measures, DBSCAN
UNIT 4:
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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
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Probabilistic Classification Algorithms
UNIT 5:
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Regression and its types
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DA Applications for Text
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Web and Social Media