KLE S.Nijalingappa College, Rajaji Nagar, Bengaluru - 560 010
Enquir
:
+91 73495 36517
info@klesncbca.edu.in
OPTRA PARENT LOGIN
Admisssion 2025-26
Toggle navigation
Home
About
KLE – The Umbrella
About KLE Society
Our Institution
About KLE SNC
Affiliations & Recognitions
KLE BCA
About KLE BCA
Mission & Vision
Academics
BCA Syllabus
NEP (I & II Semester)
NEP (III & IV Semester)
NEP (V & VI Semester)
Academic Calendar
Time Table
CBCS
Faculty
Question Papers
Lab Manuals
Study Material
BCA 1st Semester
BCA 2nd Semester
BCA 3rd Semester
BCA 4th Semester
BCA 5th Semester
BCA 6th Semester
admission
Enquire Now
Apply-Online
Discipline
Placement
Recognition
Students
Achievements
Alumni Network
Student Testimonials
Facilities
Library
Digital Library
Labs and Internet
Auditoriums
Hostel & Transportation
Sports and Gym
Other Amenities
Health Care
Events
Contact
BCA 5th Semester
Home
BCA 5th Semester
BCA 3rd Semester
Subject
Downloads Material
Artificial Intelligence
Unit-1 Introduction to AI
Unit-2 Knowledge-Based Agents PPT
Questions and Answers Part I
Questions and Answers Part II
Questions and Answers Part III
Cyber Crime, Cyber Law and IPR
Data Analytics
Unit-1 Data Analytics
Unit - 1 Assignment Questions
Data Analytics 11th-page
Data Analytics Lab PART A , B & C
Full Unit - 1 to 3
Unit-1 Introduction
Unit-3 Data Visualization
example for data analytics
Unit-3 Data Visualization PPT
Solved Papers
Model Paper 1
Model Paper 2
Model Question Paper 1
Model Question Paper 2
Model Question Paper 3
Model Question Paper 4
Model Question Paper 5
Data Analytics Unit Wise Important Questions I
Unit 2
Unit-2 Axioms of Probability
Unit-2 Axioms of Probability
Unit-2 Probability and Statistical Methods
Unit-2 Probability and Statistical Methods PPT
Unit-2 Probability and Statistical Methods updated Part I PPT
Unit-2 Probability and Statistical Methods updated Part II PPT
Other College Notes
Unit-1 Data analytics
Unit-2 Probability and Statistics notes
Unit-3 Data Visualization
Unit-4 Case Study
Other College Notes
Data Analytics Lab Part A, B & C
Data Analytics Lab Part A
Data Analytics Lab Part C
LAB1_Final
train
Lab manual - Koti mam
Part A - Lab 1
Lab 01
Lab 1 Final
Part A - Lab 2
Lab 02
Lab 2 Final
Lab 2 Final Practice
Part A - Lab 3
Lab 03
Lab 3 Final
Part A - Lab 4
Lab 4
Lab 4 Final
Part A - Lab 5
Lab Program 5
Lab 5 Final
Part A - Lab 6
Lab 6
Lab 6 Final
Part A - Lab 7
Lab 07
Part B
Lab Cycles - Part B
Part B - 1
install modules
train
Part B
HR Data
Part C -1
Data Mining
Unit 1 - Introduction
Unit 2 - Classification
Unit 3 - Clustering
Unit 4 - Association Rules
Unit-4 Notes Part-2
Unit-4 Notes
agglomerative divisive knn problems
Partitional Algorithms
Quantitative Techniques
Unit - 1 Numbers Property
Unit - 2 Quanlitative Techniques
Unit - 3 SimplE and Compound Interest
Unit - 4 Teaching and Aptitude
unit - 4 Teaching and Research Aptitude
Web Programming
Unit 1 - Web Programming-NEP
Unit 2 - Web Programming-NEP
Unit 3 - Web Programming-NEP
Unit 4 - Web Programming-NEP
Chat with us
, powered by
LiveChat