https://codefrydev.in/Reinforcement/tags/classification/ Recent content in Classification on Reinforcement Learning Curriculum https://codefrydev.in/Reinforcement/og-default.png https://codefrydev.in/Reinforcement/og-default.png Hugo en-us Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/ml-foundations/classification-concepts/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/ml-foundations/classification-concepts/ Predict categories instead of numbers. Decision boundaries, sigmoid activation, and binary probability outputs. https://codefrydev.in/Reinforcement/ml-foundations/logistic-regression/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/ml-foundations/logistic-regression/ Binary classifier from scratch: sigmoid + cross-entropy loss + gradient update. The building block of softmax policies. https://codefrydev.in/Reinforcement/ml-foundations/knn/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/ml-foundations/knn/ Classify new points by majority vote among K closest training examples. https://codefrydev.in/Reinforcement/ml-foundations/decision-trees/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/ml-foundations/decision-trees/ If/else questions on features, entropy, and information gain as splitting criteria. https://codefrydev.in/Reinforcement/dl-foundations/dl-mini-project/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/dl-foundations/dl-mini-project/ Build a 2-layer MLP to classify handwritten digits using only NumPy. Full pipeline: data, init, training, evaluation. https://codefrydev.in/Reinforcement/ml-foundations/ml-mini-project/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/ml-foundations/ml-mini-project/ End-to-end ML project combining loading, exploration, preprocessing, training, and evaluation.