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Logistic Regression&application as Classification Algorithm
  • Level Intermediate
  • Duration 2 hours
  • Offered by

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In this project, you will learn about Logistic Regression and its application as Classification Algorithm. The project demonstrates the theoretical background of Logistic Regression using the Sigmoidal function. It also explains the suitability of linear vs logistic regression to answer the specific types of research questions. Finally, it covers an implementation of classification algorithm using logit model. The project utilizes the 'Candy' dataset for illustrative purpose.

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Learn the fundamentals of Logistic Regression and its application as a Classification Algorithm in this professional-level course by Coursera. Over 120 minutes, explore theoretical concepts, the Sigmoidal function, and practical implementation using the 'Candy' dataset. Ideal for those looking to deepen their understanding in Personal Development. Available with a Starter subscription.