Lecture Notes || SNS Courseware

Subject Details

Dept : IT

Sem : 6

Regul : 2019

Faculty : N.Ramya Devi

phone : NIL

E-mail : snsramyadevi@gmail.com

192

Page views

Files

Videos

R.Links

Lecture Notes

UNIT 1:

Data Science – Fundamentals and Components – Data Scientist – Terminologies Used in Big Data Environments

Types of Digital Data – Classification of Digital Data

Data Science – Fundamentals and Components – Data Scientist – Terminologies Used in Big Data Environments

Introduction to Big Data – Characteristics of Data

Evolution of Big Data

Classification of Analytics

Top Challenges Facing Big Data

Importance of Big Data Analytics

Data Analytics Tools

UNIT 2:

1_Types of Data

2_SD, Varaiance, PDF

3_ PDF

4_ Types of Data Distribution

5_Percentile Moments

6_Bayes Theorem

7_Univariate

8_PCA

9_PCA,LDA

UNIT 3:

1_Regression

2_Datawarehouse overview

3_Bias variance

4_Data Cleaning and Normalization

5_Detecting outliers

6_Introduction to ML

7_Supervised Learning

8_Unsupervised Learning

9_Reinforcement learning

Unit3 _notes

Decision Tree

Machine learning algorithms

Announcements

Recent Files

Feb

Data Science – Fundamentals and Components – Data Scientist – Te...

Feb