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Summary — Machine Learning Zoomcamp Module 3
In this session, we worked on a project to predict churning in customers from a company. We learned the feature importance of numerical and categorical variables, including risk ratio, mutual information, and correlation coefficient. Also...
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Machine Learning Zoomcamp › Module 3: Machine Learning for Classification › Summary
Notes
In this session, we worked on a project to predict churning in customers from a company. We learned the feature importance of numerical and categorical variables, including risk ratio, mutual information, and correlation coefficient. Also, we understood one-hot encoding and implemented logistic regression with Scikit-Learn.
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