Machine Learning: Features and Labels
Welcome to our Machine Learning Crash Course! 🚀 In this video, we'll explore the key concepts of features and labels in supervised learning, using real estate price prediction as an example. Learn how continuous, categorical, and ordinal features like square footage, number of bedrooms, and school ratings impact your model’s performance. We’ll also break down label types, from regression to classification, helping you choose the right approach for your ML tasks. Whether you're predicting house prices or analyzing customer sentiment, mastering features and labels is essential for building accurate models. Let’s dive in! 💻🏡 #MachineLearning #SupervisedLearning #RealEstate #DataScience"
▶️ Main Channel: /bytemonk
Timestamps -
[0:00] - Introduction & Recap: Real Estate Price Prediction Overview
[0:23] - What are Features?
[2:20] - Labels
[3:48] - Label Types: Continuous vs. Categorical vs. Ordinal
[7:00] - Key Takeaways:
LinkedIn: / bytemonk
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#MachineLearning #DeepLearning #AI
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