Course curriculum

  • 1

    Logistic Regression

    • Introduction to Logistic Regression

    • Logistic Regression Theory - Part One - The Logistic Regression

    • Logistic Regression Theory - Part Two - Linear to Logistic Regression

    • Logistic Regression Theory - Part Three - Coefficients

    • Logistic Regression Theory - Part Four - Maximum Likelihood

    • Logistic Regression with Python and Scikit-Learn - Part One

    • Logistic Regression with Python and Scikit-Learn - Part Two

    • Classification Metrics - Part One - Accuracy

    • Classification Metrics - Part Two - Precision and Recall

    • ROC Curves

    • Logistic Regression Metrics with Python and Scikit-Learn

    • Multi-class Classification with Logistic Regression Part One

    • Multi-class Classification with Logistic Regression Part Two

    • Logistic Regression Exercise Overview

    • Logistic Regression Exercise Project Solution