Feature engineering is the most important step in creating powerful machine learning systems. This course will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective. You will start with understanding your data – often the success of your ML models depends on how you leverage different feature types, such as continuous, categorical, and more. You will learn when to include a feature, when to omit it, and why, all by understanding error analysis and the acceptability of your models. You will learn to convert a problem statement into useful new features. You will learn to deliver features driven by business needs as well as mathematical insights. You’ll also learn how to use machine learning on your machines, automatically learning amazing features for your data. By the end of the course, you will become proficient in Feature Selection, Feature Learning, and Feature Optimization.