Understand Logistic Regression using Sklearn

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Understand Logistic Regression using Sklearn

August 3, 2019|Dustin Yang

Dustin is a Data Scientist and Senior Analyst with rich experience of over 4 years. He is currently working with Aon Center for Innovation & Analytics and is based out of Singapore. Dustin holds a bachelor’s degree in Quantitative Economics, Actuarial Science, Applied Statistics from Singapore Management University.

Key takeaways for you

  • Concept of classification in ML
  • Difference between Linear and Logistic Regression
  • What is Logistic Regression
  • Cost function with gradient descent
  • Evaluation metrics
  • Implementation of logistic regression using sklearn

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