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11:54
32. PROJECTION OPERATION | Relational Algebra | DBMS | #relational_algebra_query #relationaldatabase
10:17
31. SELECTION OPERATION | Relational Algebra | DBMS | #relational_algebra_query #relationaldatabase
11:26
30. Relational Algebra | DBMS | #relational_algebra_query #relationaldatabase #sql
10:15
29. Relational Query Language | DBMS | #relational_algebra_query #relationaldatabase #sql
10:04
28. Boyce-Codd Normal Form | BCNF | #BCNF #normalform
13:57
27. Third Normal Form | 3NF | Transform a table to 3NF | #3NF #normalform
19:54
26. Second Normal Form | 2nd NF | Database Normalization | DBMS complete syllabus playlist
13:11
25. First Normal Form | 1st NF | Database Normalization | DBMS complete syllabus playlist
08:44
24. Partial dependency | Prime and Non-prime attributes | DBMS complete syllabus playlist
21:47
23. Find all the Candidate Keys in a relation | DBMS complete syllabus playlist
16:14
22. Attribute Closure | DBMS complete syllabus playlist
17:44
21. Properties & Types of Functional Dependency | FD in DBMS | DBMS complete syllabus playlist
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20. Functional Dependency | Determinants & Dependents | FD in DBMS | DBMS complete syllabus playlist
15:23
19. Normalization| Insertion, Updation and Deletion Anomaly | DBMS complete syllabus playlist
10:51
18. Many-to-Many relationship in DBMS | Cardinality | DBMS complete syllabus playlist
14:14
17. One-to-many & Many-to-one relationship in DBMS | DBMS complete syllabus playlist
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16. Cardinality | One-to-one relationship in DBMS | DBMS complete syllabus playlist
09:14
15. Foreign Keys | Referential integrity | Real-life examples
09:17
14. Primary Keys | Alternate keys | Composite keys | Real-life examples
11:37
13. Candidate Keys | Real-life examples
17:29
12. Keys | Super Keys | Real-life examples
17:24
11. Integrity Constraints | Real-life examples
40:11
10. Data Models | Real-life examples
17:19
9. Instances & schemas | Real-life examples
22:23
8. 3-Schema architecture | Data abstraction | Data Independence | Real-life examples
27:00
7. 2-tier and 3-tier architecture | With real life examples | DBMS complete syllabus
26:47
6. Database design process | With real life examples | Explanation and notes
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5. Applications of DBMS | Explanation and notes
20:39
4. File System vs DBMS | Disadvantages of file system | Real life example | Explanation and notes
22:26
3. Characteristics, advantages, disadvantages of DBMS | Understand & Remember | Concepts made easy
27:24
2. How to create databases? Components of DBMS | Real life example - AMAZON (online shopping)
29:46
1. Introduction to Database & DBMS | Database Management System
27:33
Intelligent Data Analysis (IDA)
14:00
Features of R language | Big Data Analysis
13:41
Exploratory Data Analysis | Big Data Analysis
09:02
Sources of Big Data
25:00
9. 10 Formulas and Functions for Accountants and Analysts in MS Excel
21:52
5 Important tricks using Formulas and Function in MS Excel (HINDI)
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8. 5 Important tricks using Formulas and Function in MS Excel
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7. Amazing Features of Fill Handle and AutoFill (Splendid use of CTRL) | MS Excel
19:36
6. Difference between Fill Handle and AutoFill (Lots of examples) | MS Excel
18:06
5. Multiple ways to insert/delete cells, rows, columns, ranges, & tables (Special shortcut)|MS Excel
14:33
4. Multiple ways to select cells, rows, columns, ranges, & tables (Shortcuts) | MS Excel
11:32
3. Customize worksheets (tips & shortcuts) | Excel LinkedIn Skill Assessment
22:41
2. Customize quick access toolbar & ribbon (tips & shortcuts) | Excel LinkedIn Skill Assessment
12:41
1. MS Excel User Interface | Excel LinkedIn Skill Assessment
36:05
Bias, Variance, Overfitting, Underfitting, Cross-Validation | English
13:43
Machine Learning (हिन्दी)| How does it work? Uses in Netflix, Amazon, Healthcare, Data Analysis
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SVM (part-3) | Non-linear CLASSIFICATION | Kernel Trick
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SVM (part-2) | Soft and Hard margin | Math Intuition behind SVM (CLASSIFICATION)
17:12
SVM (part-1) | Hyperplane | Most optimal Hyperplane | Linear classification (CLASSIFICATION)
23:40
Logistic Regression - Part 2, Sigmoid Function and Log-odds (CLASSIFICATION)
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Logistic Regression, Linear Regression, Sigmoid Function, Log-odds (CLASSIFICATION)
15:33
Introduction to CLASSIFICATION ALGORITHMS in Machine Learning
12:28
Difference between Artificial Intelligence and Machine Learning
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Types of Machine Learning | Supervised, Unsupervised, Reinforcement Learning
06:56
Machine Learning | How does it work? Uses in Netflix, Amazon, Healthcare, Data Analysis
13:47
Data Discretization (Supervised, Unsupervised, Top-down, Bottom-up) | Concept Hierarchy Generation
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Data Mining | Data pre-processing (data cleaning, integration, reduction, transformation)
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Multi-dimensional databases | Relational & multi-dimensional database | Advantages & disadvantages