Lecture Notes || SNS Courseware

Subject Details

Dept : BCA

Sem : 5

Regul : 2021-2024

Faculty : Ms. S. Neethu

phone : NIL

E-mail : neethu.s.ca@drsnsrcas.ac.in

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Lecture Notes

UNIT 1:

Big Data and Data Science, Big Data Architecture.

Small data, What is Data.

A short Taxonomy of Data Analytics, Examples of Data Use

Descriptive Statistics: Scale types.

Descriptive Univariate Analysis.

Univariate Frequencies

Univariate Data Visualization

Univariate Statistics-Common Univariate Probability Distributions.

UNIT 2:

Descriptive Multivariate Analysis

Multivariate Frequencies- Multivariate data Visualization, Multivariate Statistics

Infographics and Word Clouds

Data Quality and Preprocessing: Data Quality

Converting to a Different Scale Type

Converting to a different scale

Data Transformation

Dimensionality Reduction

Attribute Aggregation

UNIT 3:

Regression

Predictive performance Estimation

Model Validation

Finding the Parameters of the Model

Linear Regression

Empirical Error

the Bias-variance Trade-Off

Shrinkage Methods

Ridge Regression

Methods that use Linear Combinations of Attributes.

Ridge Regression

UNIT 4:

Regression

Predictive performance Estimation

Generalization

Model Validation

Finding the Parameters of the Model

Linear Regression

Empirical Error

The Bias-variance Trade-Off

Shrinkage Methods

Ridge Regression

Methods that use Linear Combinations of Attributes

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