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Machine Learning

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About Course

  • Learn Machine Learning concepts from fundamentals to advanced

  • Understand supervised & unsupervised learning

  • Work with real-world datasets

  • Build and evaluate ML models

  • Learn classification, regression, and clustering

  • Use Python libraries like NumPy, Pandas & Scikit-learn

  • Understand model training, testing, and accuracy

  • Hands-on projects and practical implementation

Course Content

Master Machine Learning – Models to Projects
This course introduces Machine Learning concepts and techniques used to build intelligent systems. Learners will gain practical experience in training, evaluating, and deploying machine learning models using real-world data.

Data Science

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