Course curriculum

  • 1

    Course Overview

    • Course Introduction

    • What You Should know

    • The Libraries

    • The Machine Learning Pipeline
  • 2

    Featuring Engineering

    • Feature Engineering Defined

    • The Unsung Hero

    • Feature Engineering Toolkit

  • 3

    Data Exploration

    • The Dataset

    • Exploring Continuous Features

    • Plotting Continuous Features

    • Plotting Continuous Features

    • Exploring Categorical Features

    • Plotting Categorical Features

    • Feature Summary

  • 4

    Crafting and Cleansing Features

    • Mean Value Imputation

    • Outlier Detection

    • Transforming Skewed Features

    • Craft New Features From Text

    • Create New Indicator

    • Combining Existing Features Into a New Feature

    • Categorical Features to Numeric
  • 5

    Data Preparation for Modeling

    • Create Training and Testing Splits

    • Scaling Features

    • Create Datasets for Modeling
  • 6

    Modeling

    • Model Raw Features

    • Model Cleaned Original Features

    • Model All Features

    • Model Reduced Set of Features

    • Evaluate and Compare all Models