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Learn MoreThis course introduces Feature Engineering techniques where we will discuss how and when to apply them and the methodologies to preprocess and transform the dataset for optimal use in machine learning models. Feature Engineering is a crucial step into the data science workflow, so in this course you will get hands-on practice choosing features and preprocess them.
Instructor for this course
Kristin Day
Course Introduction
Intro to Features
Binary Features
Nominal Features
Ordinal Features
Cyclical Features
Date Features
Hands-on Feature Encodings
Categorical Imbalance
Rarely Occurring Categories
Incongruent Labeling
Categorical features and dirty cats
Missing Data - Part 1
Missing Data - Part 2
Derived Features - Part 1
Derived Features - Part 2
Outliers & Skew Defined
Outliers Skew Transform In Use
Scaling Data
Dimensionality Reduction
Feature Engineering on Census Data
Course Conclusion
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