Tag Archives: One-hot Encoding

One-hot encoding One-hot encoding is a technique used in machine learning to convert categorical (non-numeric) data into a numeric format that can be used by machine learning algorithms. It’s particularly useful when working with algorithms that require numerical input, such as many classification and regression models. Scikit-Learn, a popular machine learning library in Python, providesContinue reading “ML Zoomcamp 2023 – Machine Learning for Classification– Part 8”