Lec-2: Supervised Learning Algorithms | Machine Learning

Supervised Learning algorithms are a key part of machine learning, where models are trained on labeled data to make predictions or classify new inputs. These algorithms learn from past data to identify patterns and make informed decisions.
In this video, we’ll explore the most commonly used supervised learning algorithms, including linear regression, decision trees, and support vector machines, and discuss how to implement them effectively.

00:00 – Introduction
00:19 – Supervised learning
03:05 – Data collection
03:38 – Training
04:48 – Testing
05:32 – algorithms

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