#Reinforcement_Learning

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Reinforcement Learning

Learns by interacting with its environment and receiving rewards or penalties for its actions Used to train robots and game-playing agents Learns to take actions that maximize its rewards over time

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#Semi_Supervised_Learning

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#Unsupervised Learning

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Unsupervised Learning

Trained on unlabeled data (data without known outputs) Tries to find patterns and relationships in the data on its own Used for clustering tasks (e.g., grouping customers together based on their purchase history) and dimensionality reduction tasks (e.g., reducing the number of features in a dataset without losing too much information)

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#Supervised_Learning

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Supervised Learning

Trained on labeled data (data with known outputs) Learns to predict the output for new data based on patterns learned from the training data Used for classification (e.g., predicting whether an email is spam or not) and regression tasks (e.g., predicting the price of a house)

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#NumPy

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