Target audience for Data Preparation and Feature Engineering for Machine Learning

We've written Data Preparation and Feature Engineering for Machine Learning for people who have completed Machine Learning Crash Course. We recommend that students meet the following prerequisites:

  • Comfort with variables and coefficients, linear equations, graphs of functions, histograms, and logarithms. 
  • Proficiency in Python. You should feel comfortable reading and writing Python code that contains basic programming constructs, such as function definitions/invocations, lists and dictionaries, loops, and conditional expressions. No prior experience with TensorFlow is required. 

 

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