ch3 2 applications of decision tree

#DecisionTree #Class12CBSE #MachineLearning

📚 **Class 12 CBSE NCERT | Decision Trees – Applications**

In this video, we will understand the **Applications of Decision Trees** and why they are one of the most widely used algorithms in **machine learning**.

Decision Trees are powerful and easy-to-understand models that help in solving both **classification and regression problems**, especially when the data is **non-linear**.

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🔍 **Topics Covered:**

* What are Decision Trees used for?
* Importance of tree-based learning algorithms
* Handling **non-linear data**
* Advantages of Decision Trees:

* Easy to understand and interpret
* Graphical representation
* Works with both numerical & categorical data
* Less affected by outliers and missing values

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📊 **Types of Decision Trees:**

1. **Classification Trees**

* Used when output is **categorical**
* Predictions based on **mode**

2. **Regression Trees**

* Used when output is **continuous**
* Predictions based on **mean**

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📖 **Key Concept:**
Decision Trees are versatile models that can handle **both linear and non-linear relationships**, making them highly useful in real-world data analysis.

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🎯 **This video will help you:**

* Understand real-life applications of Decision Trees
* Learn classification vs regression clearly
* Prepare for Class 12 board exams
* Build strong machine learning basics

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📌 **Watch full Class 12 Data Science / AI series (Chapter-wise & Topic-wise)**

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