Course curriculum

  • 1

    Course Introduction

    • Course Introduction

    • Why Python is the Gold Standard

  • 2

    Machine Learning Basics

    • The Artificial Intelligence Hierarchy

    • High Level Machine Learning Nomenclature

    • Types of Machine Learning

    • The Machine Learning Pipeline

  • 3

    Python Crash Course

    • Install Python on a MAC

    • Install Python on Windows

    • Jupyter Notebook Navigation

    • Assignment in Python

    • Core Workflow Statements

    • Core Data Structures in Python

    • What is an Array?

    • NumPy Crash Course

    • MATPLOTLIB and Pandas Crash Course

    • Loading Data Via Python and NumPy

    • Loading Data Via Pandas

    • Understanding Your Data

    • Descriptive Statistics

    • Univariate Plots

    • Multivariate Plots

  • 4

    Data Preparation

    • Data Preprocessing

    • Standardization and Normalization

    • Binarization

    • Feature Selection

    • Demo: Feature Selection

    • Resampling Techniques

    • Train/Test Split

    • K-Fold Cross Validation Defined

    • Demo: K-Fold Cross Validation

    • Leave One Out

    • Repeated Random Test-Train Splits

    • Performance Metrics Defined

    • Model Performance Metrics

    • Log Loss and Area Under ROC Curve

    • Confusion Matrix and Classification Report

    • Regression Metrics

    • Spot Checking: Linear Machine Learning Algorithms for Classification

    • Spot Checking: Nonlinear Machine Learning Algorithms for Classification: Part 2

    • Spot Checking: Linear Machine Learning Algorithms for Regression

    • Spot Checking: Linear Machine Learning Algorithms for Regression: Part 2

    • Spot Checking: Linear Machine Learning Algorithms for Regression: Part 3

  • 5

    Projects

    • The Foundation

    • Demo: Iris Flower Dataset

    • Demo: Iris Flower Dataset: Part 2

    • Demo: Iris Flower Dataset: Part 3

    • Demo: Iris Flower Dataset: Part 4

    • Demo: Sonar Dataset

    • Demo: Sonar Dataset: Part 2

    • Demo: Sonar Dataset: Part 3