Course curriculum

    1. Course Introduction

    2. What You Should know

    3. The Libraries

    4. The Machine Learning Pipeline

    1. Feature Engineering Defined

    2. The Unsung Hero

    3. Feature Engineering Toolkit

    1. The Dataset

    2. Exploring Continuous Features

    3. Plotting Continuous Features

    4. Plotting Continuous Features

    5. Exploring Categorical Features

    6. Plotting Categorical Features

    7. Feature Summary

    1. Mean Value Imputation

    2. Outlier Detection

    3. Transforming Skewed Features

    4. Craft New Features From Text

    5. Create New Indicator

    6. Combining Existing Features Into a New Feature

    7. Categorical Features to Numeric

    1. Create Training and Testing Splits

    2. Scaling Features

    3. Create Datasets for Modeling

    1. Model Raw Features

    2. Model Cleaned Original Features

    3. Model All Features

    4. Model Reduced Set of Features

    5. Evaluate and Compare all Models

About this course

  • Free
  • 29 lessons
  • 1.5 hours of video content