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Machine Learning

Statistics for Machine Learning

4.6 (293 Ratings)


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About this course

An understanding of basic statistical concepts provides a strong foundation for further learning in the fields of data analysis, data science and even some areas of machine learning. This course covers the basics of descriptive statistics. The course also explains in a simple manner the various kinds of statistical distributions and how to apply them to business problems.

Skills covered

  • Descriptive Statistics

Course Syllabus

Statistics for Machine Learning

  • Outline - Descriptive statistics
  • Data and Histogram
  • Central Tendency and 3 Ms
  • Measures of Dispersion Range and IQR
  • Standard Deviation
  • Coefficient of Variation
  • The Empirical Rule and Chebyshev Rule
  • Five Number Summary Boxplot and other plots
  • Data Visualizations
  • Correlation Analysis
  • Summary - Descriptive statistics
  • Exercise on Descriptive Statistics using Python

Course Certificate

Get 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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