Supervised Machine Learning in Python : Regression Analysis

Supervised Machine Learning in Python : Regression Analysis

What you’ll learn

  • Describe the input and output of a regression model
  • Prepare data with feature engineering techniques
  • Implement Linear & Polynomial Regression, RANSAC Regression, Decision Tree & Random Forest Regression, Support Vector Regression, Neural Networks models 

Who this course is for:

  • Research scholars and college students
  • Industry professionals and aspiring data scientists
  • Beginners starting out to the field of Machine Learning

How to Enroll Supervised Machine Learning in Python : Regression Analysis course?

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