MathWorks - Predictive Modeling and Machine Learning with MATLAB 

Practical Data Science with MATLAB

Instructor Introduction

Introduction to Supervised Machine Learning

Introduction to the Taxi Data

Creating and Cleaning Features

Introduction to Regression

Using the Regression Learner App

Customizing Model Parameters

Evaluating Regression Models

Evaluate Your Model in MATLAB

Summary of Regression

Download and Install MATLAB

Data and Code Files

Supervised Machine Learning Reference

Introduction to Module 1

Variables in the Taxi Data

Note regarding updates to MATLAB

Summary of Regression Models

Regression Metrics

Feature Engineering Review

Train a Regression Model

Apply the Regression Workflow

Introduction to Classification

Using the Classification Learner App

Evaluating Classification Models

Evaluating Classification Models in MATLAB

Training a Multiclass Model

Summary of Classification

Introduction to Module 2

Note regarding updates to MATLAB

Summary of Classification Models

Binary Classification Metrics Reference

Evaluate and Customize Classification Models

Multiclass Classification Metrics Reference

Customizing Multiclass Models

Train a Classification Model

Apply The Classification Workflow

Addressing Underfitting and Overfitting

Using Validation Data During Training

Embedded Methods for Feature Selection

Using Regularization to Prevent Overfitting

Introduction to Ensemble Models

Training Ensemble Models

Introduction to Hyperparameters

Optimizing Hyperparameters

Summary of Module 3

Introduction to Module 3

Examining Bias Variance Trade-off

Practice Partitioning Data

Using Wrapper Methods to Select Features

Introduction to the Course Project

Practice Reducing Model Complexity

Applying Ensemble Models

Handling Class Imbalance

Reducing Specific Errors Using Cost Matrices

Integrating Your Model

A Discussion with Heather

Summary of Predictive Modeling and Machine Learning

Introduction to Module 4

Sampling Data

Practice Handling Class Imbalance

Oversampling the Minority Class

Examples of Integrating Machine Learning Models

Automated Machine Learning

Provide Feedback on Your Course Experience

Practice Reducing Prediction Errors

Quiz: Advanced Topics and Next Steps