intermediate

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Comprehensive AI-generated study curriculum with 1 detailed note module.

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Course Syllabus

  1. Introduction to Data Science and Probability
  2. Statistical Inference and Hypothesis Testing
  3. Data Collection, Cleaning, and Visualization
  4. Introduction to Machine Learning
  5. Supervised Learning Algorithms (Regression)
  6. Supervised Learning Algorithms (Classification)

Study Notes