Introduction to ML algorithms: Logistic Regression

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Introduction to ML algorithms: Logistic Regression

June 8, 2019|George Liu

George is a Data Scientist with a rich experience of 5 years. He considers himself a life-long learner and makes sure he’s always at the forefront of tech by perennial learning. Due to continuous learning and practice over the years, he has developed an expertise in Analytics, Machine Learning, Deep Learning, and NLP. He is based out of Canada and is currently working with a research company.

Key takeaways for you

  • Learn the 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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