Lecture Notes || SNS Courseware

Subject Details

Dept : CSE

Sem : 4

Regul : R2019

Faculty : Ms.P.Poonkodi

phone : NIL

E-mail : poonkodi.cse@gmail.com

1.263K

Page views

Files

Videos

R.Links

Lecture Notes

UNIT 1:

Big Data and Data Science

A project on Data Analytics

A little History on Methodologies for Data Analytics

KDD Process

CRISP-DM Methodology

Data Analytics- Types, Tools and Applications

UNIT 2:

Descriptive Statistics - Scale Types

Multivariate Data Visualization , Multivariate Statistics , Infographics and Word Clouds

Descriptive Univariate Analysis, Descriptive Bivariate Analysis

Descriptive Multivariate Analysis - Multivariate Frequencies

Data Quality - Missing Values, Redundant Data

UNIT 3:

Clustering Techniques - K-means, Centroids

Clustering Validation

Distance Measures for Non-conventional Attributes

Distance Measures for Objects with Quantitative Attributes

Distance Measures - Differences between Values of Common Attribute Types

Distance Measures, DBSCAN

UNIT 4:

Probabilistic Classification Algorithms

Case-based Reasoning

Binary Classification - Predictive Performance Measures for Classification

Distance-based Learning Algorithms, K-nearest Neighbor Algorithms

Logistic Regression Algorithm

Naive Bayes Algorithm.

UNIT 5:

Regression and its types

Working with Texts

Recommender Systems

Social Network Analysis

Lecture Notes

Announcements

Recent Files

Copyright © SNS College Of Engineering 2014 Developed bySNSCE