The Fix-Hodges method 📊 is a precursor to k-NN 🤖, introducing localized, non-parametric density estimation by adapting interval sizes around points. This inspired k-NN's key idea: using neighborhoods defined by the nearest k points 🔍 for classification or regression, shaping modern ML methods.

Hello, world! 🌍 Machine Learning enables computers to make decisions from data without programming. Supervised Learning trains on labeled data to predict outcomes. Unsupervised Learning uncovers hidden patterns in unlabeled data. Follow to learn k-Nearest Neighbors algorithm (Fix & Hodges, 1951).