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GATE DA AI, ML and DBMS & Warehousing complete video course is designed by AI Researchers. Get AI, Machine Learning and DBMS & Warehousing course at affordable rates.
Introduction Part 1.mp4
introduction part 1
Introduction Part 2.mp4
Introduction Part 2
Relational Database part 1.mp4
Relational database part 1
Relational Database part 2.mp4
Relational Database part 2
Relational Database part 3.mp4
Relational database part 3
Relational database part 4.mp4
Relational Database part 4
Relational database part 5.mp4
Relational database part 5
Relational database part 6.mp4
Relational database part 6
Relational database part 7.mp4
Relational database part 7
Relational database part 8.mp4
Relational database part 8
Relational database part 9.mp4
Relational database part 9
Relational database part 10.mp4
Relational database part 10
Relational database part 11.mp4
Relational database part 11
Relational database part 12.mp4
Relational database part 12
Relational database part 13.mp4
Relational database part 13
Relational database part 14.mp4
Relational database part 14
Query Languages part 1.mp4
Query languages part 1
Query Languages part 2.mp4
Query languages part 2
Query languages part 3.mp4
Query Languages part 3
Query languages part 4.mp4
Query Languages part 4
Query Languages part 5.mp4
Query languages part 5
Query Languages part 6.mp4
Query Languages part 6
Query Languages part 7.mp4
Query Languages part 7
Query Languages part 8.mp4
Query Languages part 8
Query languages part 9.mp4
Query Languages part 9
Query languages part 10.mp4
Queries part 10
Query Languages part 11.mp4
Query languages part 11
ER Model part 1.mp4
ER Model Part 1
ER Model Part 2.mp4
ER Model part 2
ER Model part 3.mp4
ER model part 3
ER Model part 4.mp4
ER Model part 4
ER model part 5.mp4
ER model Part 5
Indexing part 1.mp4
Indexing part 1
Indexing part 2.mp4
Indexing part 2
Indexing Part 3.mp4
indexing part 3
Indexing Part 4.mp4
Indexing Part 4
Indexing Part 5.mp4
Indexing part 5
Indexing part 6.mp4
Indexing Part 6
Indexing Part 7.mp4
Indexing Part 7
Indexing Part 8.mp4
Indexing Part 8
AI_Syllabus
AI_0.mp4
AI_1.mp4
AI_2.mp4
AI_3.mp4
ML Syllabus (GATE DA)
ML Syllabus
ML Lecture 1 - Introduction
ML_1_Note
ML Lecture 2
ML_2_Note
ML Lecture 3
ML Lecture 4
ML_3-4_Note
ML Lecture 5
ML Lecture 6
ML_7.mp4
ML_8.mp4
ML_9.mp4
ML_10.mp4
ML_11
ML_5-6-7-8-9-10-11_Notes
ML_5-6-7-8-9-10-11_questions_notes
ML_12
ML_13.mp4
ML_14.mp4
ML_15.mp4
ML_16
ML_12-13-14-15-16_notes
ML_12-13-14-15-16_questions_notes
ML_17.mp4
ML_18.mp4
ML_19.mp4
ML_17-18-19_notes
ML_17-18-19_questions_notes
ML_20.mp4
ML_20_notes
ML_20_questions_notes
ML_21.mp4
ML_22.mp4
ML_23.mp4
ML_24.mp4
ML_21-22-23-24_Notes
ML_21-22-23-24_Questions_Notes
ML_25.mp4
ML_26.mp4
ML_25-26_notes
ML_25-26_questions_notes
ML_27.mp4
ML_28.mp4
ML_29.mp4
ML_30.mp4
ML_31
ML_27-28-29-30-31_notes
ML_27-28-29-30-31_questions_notes
lecture1.mp4
lec2.mp4
lec3.mp4
lec4.mp4
lec 5.mp4
lec 6.mp4
lec 7
lec 8.mp4
lec 9.mp4
all slides_lecture notes