21:58

Bellman Ford Algorithm 🔥

41:02

Multistage Graph 🔥

05:18

Greedy Method vs Dynamic Programming 🔥

02:52

Introduction to Dynamic Programming 🔥

30:48

Dijkstra's Algorithm 🔥

34:39

Min Max Algorithm 🔥

15:50

Substitution Method 🔥

15:19

Diffie Hellman Key Exchange Algorithm 🔥

08:24

Vernam Cipher | One Time Pad ( OTP )

10:37

Keyed Columnar Transposition Cipher 🔥

08:29

Double Transposition Ciphers

06:33

Keyed Transposition Cipher 🔥

21:51

Euler's Totient Function & Euler's Theorem 🔥

11:39

Euclidean Algorithm 🔥

09:45

Network Security Model 🔥

07:16

Active Attack vs Passive Attack

08:17

Basics of Security Attacks

06:43

Stages of Natural Language Processing 🔥

07:53

Rbind in R Programming Language

05:06

Data Frame in R Programming Language

06:54

How to create a Subset without subset function ( subset() ) or with square bracket ( [ ] )

09:08

What is Subset in R Programming Language

08:33

What is List in R Programming Language

08:09

What is Vector in R Programming Language

04:51

Conditional statements in R Programming Language

04:28

How to Concatenate Elements in R Programming Language

04:28

Evaluation of Expression in R Programming Language

02:39

How to create a variable in R Programming language

02:54

Introduction to R Programming Language 🔥

11:56

Datar Gionis Indyk Motwani ( DGIM ) Algorithm 🔥

15:43

Flajolet Martin Algorithm 🔥

20:00

Bloom Filter 🔥

09:02

Data Stream Management System ( DSMS ) 🔥

04:31

Client Server and Peer to peer model

03:26

Analyzing big Data whth a Shared Nothing Architecture

05:04

Types of Big Data Problems 🔥

08:06

NoSQL data Architecture patterns

18:58

Internet Control Message Protocol ( ICMP ) 🔥

09:04

7 V's of Big Data | Characteristics of Big Data

07:53

Types of Network ( PAN, LAN, MAN & WAN )

11:10

TELNET ( Terminal Network ) & NVT ( Network Virtual Terminal )🔥

07:09

File Transfer Protocol ( FTP ) 🔥

10:23

Dynamic Host Configuration Protocol ( DHCP ) 🔥

12:05

Hyperlink Induced Topic Search ( HITS ) Algorithm

04:51

Ranking Algorithms 🔥

08:19

Introduction to Web Mining 🔥

25:09

FP Growth Algorithm 🔥

19:13

Apriori Algorithm 🔥

03:04

Difference between Classification & Clustering 🔥

15:02

K Means Clustering Algorithm 🔥

13:23

Naive Bayesian Classification Algorithm

07:44

Holdout, Cross validation & Bootstrapping 🔥

07:19

What is Classification 🔥

12:59

Data Smoothing & Date Reduction ( by bin mean & bin boundary ) 🔥

16:26

Calculate Mean, Median, Mode, Quartiles, Box Plot & five number summery of the given data set

13:31

Data Mining System Architecture 🔥

14:58

Knowledge Discovery in Database ( KDD ) Process

06:11

Introduction to Data Mining 🔥

10:21

Star Schema vs Snow Flake Schema 🔥

14:29

Snow Flake Schema 🔥