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Advanced Statistics for Machine Learning



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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

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

Course Syllabus

Advanced Statistics for Machine Learning

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