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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Watch video Machine Learning: Features and Labels online without registration, duration hours minute second in high quality. This video was added by user ByteMonk 19 August 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 459 once and liked it 14 people.