Brainware University MCA 3rd sem previous year pdf


1. 150 MCQs


2. Ai final 3rd sem


3. Assignment Front Page


4. Assignment II Question Format - UPLOAD SOFT COPY TO BUIS


5. Bayes theorem


6. BIG DATA FINAL 3RD SEM


7. Blockchain_Questions


8. BV_MCA402A_MLP_Theory


9. BV_MCA492A_IoT and DA Lab_Lab Manual


 10. Case study


11. Class-1


12. Class-2


13. Class-3


14. Class-4


15. Class-7


16. Class-8-WoT


17. Cloud computing final 3 marks


18. Cloud computing final 5 marks


19. Cloud Computing


20. HDFS Architecture


21. Logistic Regression using python


22. mareduce


23. MCA Sugg


24. MCA_302_Practice Set for Class Test 1


25. MCA_401B_Sec_A+B+C_MLP


26. MCA302_Practice_paper_TermEnd


27. MCA302_Study Material_M1_1 (1)


28. MCA302_Study Material_M1_2


29. MCA305B (1)


30. MCA305B_BIG DATA ANALYSIS_Sec3A+3B+3C_MLP


31. MCA305B_CT1_SET2_ANS_FILE


32. MCA305B_SET_1_ANS_FILE


33. MCA392_Study Material 001


34. MCA401A_Assignment 2


35. MCA401A_MCA2022_AllSec


36. MCA401A_Natural Language Processing (1)


37. MCA401A_Sec_A+B+C_MLP


38. MCA401B _Tricky Questions _MCA_Sec_A_B_C


39. MCA401B


40. MCA403_Study_Material_Module_2


41. MCA403B_Study Material Module 1_i


42. MCA403B_Study_material_Module_1_ii


43. MCA403B_Study_material_Module_3,4,5


44. MCA403B_Study_material_module_3_Part1


45. MCA403B_Study_material_module_3_Part2


46. MCA403B_Study_material_Module_4_Part1


47. MCA403B_Study_material_Module_4_Part2


48. MCA403B_Study_material_Module_5


49. MCA491B_Section A_C_ActtivityPlan_modified


50. MCA491B_Section A+B+C_ActtivityPlan


51. MCA492A_SecA+B+C_Group1_MLP


52. MCQ (1)


53. MCQ_questions.pdf


54. MCQ_questions.xlsx


55. Mind Map for Module-2.xlsx


56. MOD 3_i.pdf


57. MOD3.2-CPU ORGANISATION.pdf


58. Module 3.3.docx


59. Module 5.docx


60. Module 6.docx


61. Module I_i.pdf


62. Module I_part_1.pdf


63. Module I_Part_II.pdf


64. Module II.pdf


65. Module II_Part_1.pdf


66. Module II_Part_2.pdf


67. Module II_Part_3.pdf


68. Module III_part _II.pdf


69. Module III_part _III.pdf


70. Module III_part_1.pdf


71. Module IV (1).docx


72. Module IV_Part_1.pdf


73. Module IV_Part_II.pdf


74. Module V_Part_1.pdf


75. Module V_part_II.pdf


76. MODULE_1.docx


77. MODULE_2.docx


78. module_5 (1).docx


79. MODULE_6.docx


80. module1_MCQ.docx


81. NLP_2.2.docx


82. NLP_Module2.1.docx


83. NoSQL.docx


84. Parsing_2.3.docx


85. Polynomial Regression.pptx


86. Practice Set_MCA304A.pdf


87. PracticeSet_CT-I_MCA304A.docx


88. QUESTION AKO SLUTION_MCA305B.xlsx


89. Regression-SLR.pptx


90. Revised Micro Lecture Plan MCA401B_SecA_C


91. SLR implementation in python-Lab 13.pptx


92. tricky qes.xlsx


93. Tricky Question Set (1).pdf


94. Tricky Question Set.pdf


95. Unsupervised learning, clustering, similarity and distances, quality measures of clustering


96. What is Natural Language Generation.docx







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