Data Science 🐍 Features

The video tutorial introduces key machine learning terminology, focusing on concepts like features, labels, and loss functions. It explains feature generation and selection using stock data, highlighting methods like volatility analysis and feature importance. The tutorial also includes a TCC Lab activity, demonstrating feature development to predict heater status using temperature and derivatives.

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