Скачать или смотреть Linear Regression Class 11 AI | CBSE Unit 6 | Simple Explanation with Examples| Predictive Analytics

Linear Regression Class 11 AI | CBSE Unit 6 | Simple Explanation with Examples | Predictive Analytics
Welcome to this Class 11 CBSE Artificial Intelligence lesson on Linear Regression!
In this video, we explain what regression is, why it is used, dependent vs independent variables, and how to identify a linear relationship using real-life examples.
UNIT 6 – MACHINE LEARNING ALGORITHMS

🔥 What you will learn in this video:

What is Regression?

What is Linear Regression?

Dependent (Y) vs Independent Variable (X)

When to use Regression

Requirements for Regression
✔ Numeric continuous data
✔ Linear trend
✔ No extreme outliers
✔ Clear increasing or decreasing pattern

How correlation affects regression

Real-life examples (Study hours vs Marks, Sales vs Temperature, etc.)

Why regression fails:
❌ No correlation
❌ Non-linear data
❌ Outliers
❌ Categorical variables
❌ Very small sample size

📘 Perfect for:

Class 11 CBSE AI Unit 6 (Introduction to AI)
Predictive Analysis chapter
School exams & notebook work
Beginners learning regression
Teachers preparing classroom material

🎯 Learning Outcome:
By the end of this video, you will clearly understand how regression helps us predict values, identify patterns, and make decisions using data.

CBSE Class 11 AI (Unit 6): ML Algorithms:
   • CBSE Class 11 AI (Unit 6): ML Algorithms  

Correlation & Regression Predictive Analysis | 7 Types of Correlation | CBSE Class 11 Unit 6:
   • Correlation & Regression Predictive Analys...  

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