Lesson 1 - Linear Regression with Scikit Learn
Machine Learning with Python: Zero to GBMs
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Course HomeLesson 2 - Logistic Regression for ClassificationAssignment 1 - Train Your First ML ModelLesson 3 - Decision Trees and HyperparametersLesson 4 - Random Forests and RegularizationAssignment 2 - Decision Trees and Random ForestsLesson 5 - Gradient Boosting with XGBoostCourse Project - Real-World Machine Learning ModelLesson 6 - Unsupervised Learning and Recommendations
In this lesson, we'll learn the fundamentals of machine learning and linear regression in the context of a problem, and generalize their definitions. The following topics are covered:
- Linear regression with multiple features
- Using numeric and categorical features
- Regression coefficients & features importance
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