Module 5: Modeling, Evaluation, and Deployment
Overview
In this module, we discuss model training, evaluation and hyperparameter tuning.
What you’ll learn
- Overview of Machine Learning
- High level introduction of various ML problems (regression, classification etc).
- Deep-Dive into algorithms for Classification Models
- Hyperparameter Tuning / Cross validation
- Evaluation (underfitting, overfitting, metrics)
Topic Kickoff
| Resources | Links |
|---|---|
| Training & Evaluation Recording | Recording |
| Training and Evaluation Presentation | Training and Evaluation |
| Hyperparamter Tuning Recording | Recording |
| Hyperparameter Tuning Presentation | AzureML Hyperdrive |
Table of Contents
| Resources | Links |
|---|---|
| ML For Beginners | Microsoft Learn - 4 - Classification (~ 6-8 hours) |
| Train and evaluate classification models | Microsoft Learn - 47 minutes |
| Confusion matrix and data imbalances | Microsoft Learn - 52 minutes |
| Measure and optimize model performance with ROC and AUC | Microsoft Learn - 36 minutes |
| Applied Machine Learning: Foundations | LinkedIn Learning - 2 hours 38 minutes |
| Applied Machine Learning: Algorithms | LinkedIn Learning - 2 hours 24 minutes |
| Imbalanced Target Categories (3 minutes) | LinkedIn Learning |
| Treating Imbalanced Datasets (4 minutes) | LinkedIn Learning |