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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