Statistics and Regression in Python Bootcamp

  • Includes Lab
 
Data is one of the most valuable assets a business has, but it's only as valuable as the methods used to interpret it. Regression is an optimization method for adjusting parameter values so that a correlation best fits data. Parameter uncertainty and the predicted uncertainty is important for qualifying the confidence in the solution. In this course, practice using Python to perform a statistical analysis with Python for both linear and nonlinear regression.

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