Overview
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- Getting Started: Get an overview of the course. Import and process data, explore data features, and train and evaluate a classification model.
- Finding Natural Patterns in Data: Use unsupervised learning techniques to group observations based on a set of explanatory variables and discover natural patterns in a data set.
- Classification Methods: Use available classification methods to train data classification models. Make predictions and evaluate the accuracy of a predictive model.
- Improving Predictive Models: Validate model performance. Optimize model properties. Reduce the dimensionality of a data set and simplify machine learning models.
- Regression Methods: Use supervised learning techniques to perform predictive modeling for continuous response variables.
- Conclusion: Learn next steps and give feedback on the course.
