Supervised Machine Learning Made Easy | Part 7 | AI Center Series

Welcome to the AI Center Series! In this video, we break down the essentials of supervised machine learning and make it easy for you to understand and apply.

What You'll Learn:
Supervised Learning Basics: Discover what supervised learning is and how it works, with relatable examples that make complex concepts simple.

Classification & Regression: Learn the two main types of supervised learning—classification and regression—and how they can be applied to real-world problems like predicting house prices or diagnosing diseases.

Data Splitting: Master the art of data splitting, including why the 80:20 ratio is critical for training accurate models and how it helps in evaluating model performance.

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Timestamps:
0:00 Introduction
0:42 What is Supervised Learning?
1:56 How does Supervised Machine Learning works?
3:12 Types of Supervised Learning
3:22 Classification
4:48 Regression
6:08 Data Splitting: 80:20 Rule Explained
8:26 Advantages of Supervised Learning
9:30 Conclusion

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