Supervised vs Unsupervised learning

Are you confused about the difference between Supervised and Unsupervised Learning?

In this video, we break down the two most fundamental branches of Machine Learning in a way that actually makes sense. Whether you're a beginner starting your data science journey or a pro looking for a quick refresher, this guide covers everything you need to know.

We dive deep into how algorithms "learn" differently depending on the data you provide.

Supervised Learning: Learning with a "teacher." We use labeled data to predict outcomes like house prices or whether an email is spam.

Unsupervised Learning: The "self-learning" approach. The algorithm finds hidden patterns and structures in unlabeled data, perfect for customer segmentation and anomaly detection.

Get the hands-on code and datasets used in this video here:
👉 GitHub Repository: https://github.com/rc1357911/data-science

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