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Advanced Statistics for Machine Learning

4.33 (42 Ratings)


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About this course

Statistics is used to process complex problems in the real world so that Data Scientists and Analysts can look for meaningful trends and changes. This course helps you learn about some statistical analyzing tools and its accurate application. Key concepts include probability distributions, statistical significance, hypothesis testing, and regression. Furthermore, machine learning requires understanding Bayesian thinking.

Skills covered

  • Advanced Statistics
  • Hypothesis testing
  • Type-I and Type-II error

Course Syllabus

Advanced Statistics for Machine Learning

  • Foundations of statistics
  • Concept of standard error and probability
  • Rules of probability
  • Normal distribution
  • Hands-on exercise on normality distribution
  • Building confidence interval and sample size problem
  • Null and alternate hypothesis
  • Type I and type II error
  • Concept of P-value
  • Hypothesis formulation exercises
  • T-test application- One sample problem and solution

Course Certificate

Get Advanced Statistics for Machine Learning course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

GL Academy Sample Certificate

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