Skill

Supervised Machine Learning

Data Science, Analytics and AI/ML

Supervised machine learning is a branch of AI in which algorithms learn to map inputs to outputs using labeled training data, such as predicting house prices from historical sales or classifying emails as spam. Data scientists and machine learning engineers use techniques like regression, decision trees, support vector machines, and neural networks within this paradigm. It is the most widely used form of machine learning in industry applications like fraud detection, recommendation systems, and image recognition.

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• scikit-learn
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• Unsupervised Learning