Data Science and Machine Learning

Currently Playing: Ep 10 — Machine Learning Model Train/Test Split The Shelf He Never Looks At Train/Test Split

#machinelearning #datascience #ml #ai #maths #algortihm #artificialintelligence Core Idea: Never judge a theory on the evidence that built it. Concept: Train/test split. Why it matters: Testing on training data proves nothing — it's just re-reading a memorized answer. Core mechanic: You will demonstrate train_test_split(X, y, test_size=0.2, random_state=42). Example: A model that scores 99% on the training set, but only 60% on the test set — revealing the real story. Common mistake: Reporting training accuracy as if it were a measure of true generalization. The Rule: "The only honest measure is whether an idea explains what it wasn't built on." Next Clue: Two shelves, rearranged by two very different housekeepers.