05:11

Image classification using Weka filter approach #weka #machinelearning

03:08

Resolving faculty directory issue on NCEAC website

08:40

NumPy using reshape and Linspace functions, #numpytutorial part 4

03:48

Create NumPy array of zeroes, ones and empty array, #numpytutorial part 3

02:53

Understanding multidimensional array NumPy, part 2 #numpytutorial

06:27

Creating NumPy Array, part 1 #numpytutorial

03:28

introduction to Numpy

17:24

Artificial Neural Network #machinelearning #bigdata #dataanalytics #neuralnetworks

23:21

#hadoop #distributed #file #system #hdfs #hadooptutorial part - 1

14:07

Data formats #datascience #machinelearning #dataanalytics #data #statistics #bigdata #datasets

01:51

Artificial Intelligence in Programming #artificialintelligence #machinelearning #programming

15:19

Skewness #statistics #dataanalytics #visualization #data #bigdata #skewness #machinelearning

27:52

Decision Trees #decisiontree #datascience #machinelearning #dataanalytics #bigdata #statistics

16:34

Normalization vs Standardization #normalization #standardization #datascience #statistics

18:43

Logistic Regression #machinelearning #datascience #logisticregression #dataanalytics

06:23

Pattern Detectors #datascience #machinelearning #statistics #mean #variance

18:32

Big Data Scalability #bigdata #datascience #scalability #dimensions #machinelearning

28:03

Multivariate Linear Regression #machinelearning #datascience #linearregression #multivariable

31:47

Big Data Classification #datascience #machinelearning #dataanalytics #bigdata

16:57

Symmetric cryptography #cybersecurity #encryption #cryptography

01:58

Finding datasets part 2 #datascience #dataanalytics #machinelearning #statistics #data

02:19

Finding a dataset #machinelearning #datascience #dataanalytics #datasets

12:19

Simple Linear Regression #datascience #machinelearning #education #linearregression

10:11

Data visualization using Python #pythonprogramming #datascience #matplotlib

09:41

Selecting Subset using Pandas #pandas #datascience #machinelearning

03:49

Data Analyst vs Data integrity #datascience #machinelearning

00:40

How to draw a plot in Python using Matplotlib #shorts

23:22

Measures of Accuracy part-2, Area under the Curve (AUC)

22:24

Measures of Accuracy, part-1

33:30

Pandas tutorial for beginners

33:24

Basic concepts of Machine Learning | Regression and classification, Variables

25:23

Random forest Classifier using Scikit-learn | Machine learning tutorial for beginners

15:30

Scikit-learn Introduction for beginners

24:12

Hadoop distributed File System | Overview

19:30

Install and configure Ubuntu 16.04 on Virtual box

26:22

Types of software, Keyboard

33:50

Introduction to Hardware, Software, Data, information, computing

26:02

Regression vs Classification, Training vs Test data

24:42

IT career opportunities

33:11

Essential of Machine learning: Linear vs nonlinear, occam's razor

26:36

Software development life cycle: Development to Testing

17:51

Introduction to information systems

33:04

Essentials of Machine learning

02:17

How to fix bibtex with similar names.

08:19

IEEE standard 1061

08:42

Software quality model

10:40

Software engineering Code of Ethics

07:19

Five dimensions of a software project

14:36

Quality culture

10:57

Database searches using nucleotide and protein sequences

04:25

Data visualization by Tableau software

00:59

K-neaears neigbor in WEKA.

01:29

Where to find Support vector machine in WEKA?

02:09

How to install additional package in WEKA

07:10

How to solve Heap size error in WEKA | High dimensional dataset

09:26

Feature selection in Weka | Information gain and others

16:20

Final year project report writing | mistakes | recommendations | tips | article style

11:35

Steps of systematic review | Summarize the Evidence | Interpretation the findings

12:39

Steps of systematic literature review | Assessing quality of the study

15:50

Steps of systematic literature review | Framing a question | Identifying relevant work