🎉 Welcome to the Business Intelligence and Data Analytics (BIDA) Practical Series by MORE Academy! 🎓
TY BSc IT Sem 6 (2026) – Business Intelligence Practical 3
In this detailed session, you’ll learn the concepts of Classification Algorithms, Supervised Learning, and K-Nearest Neighbour (KNN) Algorithm — important topics under the Mumbai University BSc IT Semester VI Business Intelligence syllabus.
This video gives you a clear conceptual understanding of how machine learning techniques like classification help in data-driven decision-making within the BI domain.
📘 Practical Details
Course: BSc IT
Semester: VI
Subject: Business Intelligence
Practical No.: 3
Title: Perform the Data Classification Using Classification Algorithm
⏱ Timecodes:
0:00 - Intro
0:27 — Supervised Machine Learning: An Example
1:00 — Machine Learning and Our Focus
1:18 — Data & Goal
2:45 — Supervised vs Unsupervised Learning
3:00 — Supervised Learning Process: An Example
4:23 — Classification Algorithms
5:10 — K-Nearest Neighbours (KNN)
📘 What You Will Learn Today
✅ What is Supervised Learning in Machine Learning
✅ Difference between Supervised and Unsupervised Learning
✅ How Classification Algorithms work in BI
✅ Understanding the KNN (K-Nearest Neighbour) Algorithm
✅ Real-world examples of classification in analytics
✅ How data classification supports Business Intelligence
⚙️ Step-by-Step Concept + Practical Explanation
All your doubts related to classification algorithms and supervised learning are clearly solved in this session!
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👩💻 Why Watch This Video?
✅ Understand classification algorithms with real-world examples
✅ Learn supervised vs unsupervised learning clearly
✅ Build a strong foundation for BI practicals and ML-based concepts
✅ Prepare for practical exams and placement-level discussions
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