1. FSL
  2. Machine Learning
  3. Statistician


Statistician

Statistician plays a vital role in Machine Learning. Statistical ways are always needed to find answers to the questions we have about the supplied data. Statistics help us to decide and find out that what data had been used to train the machine learning model and how to depict conclusions of testing different machine learning models. Statisticians are needed in research and academics to find out the better solution for different problems. They improve the products of a company by applying the best outcome from their conclusions. They help identify trends within the data with a mixture of business understanding and technical skills.

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Skills Covered in this Path

  • Marginal Probability
  • Bayes Theorem
  • Binomial Distribution
  • Normal Distribution
  • Poisson Distribution
  • Central Tendency
  • Measures of Variability
  • Measure of Skewness
  • Kurtosis
  • Hypothesis Testing
  • T-test
  • Descriptive Statistics
  • Measures of Dispersion Range and IQR
  • Central Tendency and 3 Ms
  • The Empirical Rule and Chebyshev Rule
  • Correlation Analysis
  • Statistical Analysis
  • EDA
  • Basics of Probability
  • Marginal Probability
  • Bayes Theorem

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