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📊 Statistics & Math for ML

Descriptive Statistics for Data Science

Understand data through numbers. Master mean, median, variance, distributions, and statistical visualization — the mathematical foundation every ML engineer needs.

Session 13 recording

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What You'll Learn

  • How to summarize any dataset with key statistical measures
  • Variance, standard deviation, and why they matter for ML
  • Common data distributions and how to identify them
  • Building informative visualizations with matplotlib

Topics Covered

  • →Central tendency measures
  • →Variance & standard deviation
  • →Data distributions
  • →Visualization with matplotlib

Practice Exercises

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📊 Statistics & Math for ML

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