01:00:08

AI, ANN & DL 13 - Introduction to Deep Learning

01:07:22

AI, ANN & DL 12 - How to Improve Neural Networks Accuracy

01:07:05

AI, ANN & DL 11 - Model Evaluation and Hyper-parameter Tuning in Neural Networks

01:40:29

AI, ANN & DL 10 - Implementation of the Feedforward Neural Networks in MATLAB and SciLearn

01:08:15

AI, ANN & DL 9 - Introduction to Multi-layer Feedforward Neural Networks

59:07

AI, ANN & DL 8 - Introduction to Competitive neural networks

01:08:44

AI, ANN & DL 7 - Introduction to dynamic networks

01:25:40

AI, ANN & DL 6 - ADALINE and MADALINE

01:27:04

AI, ANN & DL 5 - Some Applications of the Perceptron

01:34:23

AI, ANN & DL 4 - Introduction to Perceptron

01:12:46

MATLAB vs Python 2 - Scalars, Vectors, Matrices and Tensors and Special data structures

01:03:46

MATLAB vs Python 1 - Using Variables

01:07:17

AI, ANN & DL 3 - Introduction to ANN (Artificial Neural Networks)

44:43

AI, ANN & DL 2 - Introduction to AI and ML part 2

22:29

AI, ANN & DL 1 - Introduction to AI and ML part 1

01:25:18

Intro to Database Systems 21 - Views and Triggers

01:10:59

Intro to Database Systems 20 - Stored Procedures

01:17:15

21. DW & DM - Windows and WEB Application development to score a data mining application

01:03:28

20. DW & DM - Windows and WEB Application development to consume a data cube

55:56

19. DW & DM - Hyper parameter tuning for Data mining and machine learning models

01:40:42

18. DW & DM - Evaluation Metrics for Data Mining / Machine Learning Models

01:42:37

17. DW & DM - Evaluating Data Mining and Machine Learning Models

01:14:56

Intro to Database Systems 19 - Functions in MS SQL Server

01:24:01

Intro to Database Systems 18 - MERGE statement and GROUPING SETS, CUBE and ROLL UP Operators

01:25:58

Intro to Database Systems 17 - SET operators, PIVOT tables and CTE

01:08:54

16. DW & DM Decision tree classifier implementation

01:04:03

15. DW & DM Theoretical background of decision tree classifier algorithm

01:15:36

14. DW & DM Introduction to Data Mining

01:21:23

Intro to Database Systems 16 - Subqueries

33:11

Intro to Database Systems 15 - Practical Applications

01:00:03

Intro to Database Systems 14 - Using Joins

33:48

13. DW & DM Consuming the Data Cubes

01:17:45

12. DW & DM Multidimensional Expressions (MDX) Query

27:40

11. DW & DM Practical Implementation of a Data Cube

01:05:06

9. DW & DM Demo to see difference between DW and DB

50:37

10. DW & DM Data Cubes

47:31

Intro to Database Systems 13- Using Constraints

01:30:03

Intro to Database Systems 12- Referential integrity

31:31

Intro to Database Systems 11- Practical Example for the Normalization

01:03:26

Intro to Database Systems 10- Database Relationships - II

01:08:26

8. DW & DM Practical example for Data Warehouse Loading

01:17:49

7. DW & DM Data Loading in Data Warehouse Systems

01:15:54

6. DW & DM ETL (Extract, Transform, Load)

46:30

5. DW & DM Practical Implementation of a Data Warehouse

01:01:06

4. DW & DM Designing a Data Warehouse

28:50

3. DW & DM Practical Implementation of a Stage Database

58:26

2. DW & DM Designing a Stage Database

01:10:11

1. DW & DM Practical implementation of an operational database system

01:10:54

Intro to Database Systems 9- Database Relationships - I

01:15:47

Intro to Database Systems 6- Data analysis using SQL

51:20

Intro to Database Systems 7- Practical implementation of a database

01:04:17

Intro to Database Systems 8- Database Normalization

01:07:40

Intro to Database Systems 5- SQL - Select query

01:03:49

Intro to Database Systems 4- Practical Implementation of a typical database table

01:19:51

Intro to Database Systems 2- How to design and implement a database table using MS SQL Server

34:32

Intro to Database Systems 3- Practical Implementation of a typical database table