Introduction to Machine Learning
This repository contains all course assignments of my Introduction to Machine Learning course and will get you up to speed with Microsoft's new ML.NET library.
By working through the code examples, you will learn how to design, train, and evaluate complex AI models with simple C# code. I'll provide you with all the code, libraries, and data sets you need to get started.
Please note that this repository only contains code examples with no additional support.
If you prefer a full-featured e-learning experience with live coaching, please check out my online course here:
https://www.machinelearningadvantage.com/introduction-to-machinelearning
Table of contents
Regression: Predict house prices in California
Regression: Predict taxi fares in New York
Binary classification: Predict heart disease in Ohio
Multiclass classification: Recognize handwriting
Evaluating models: Detect SMS spam messages
Decision trees: Predict Titanic survivors
Ensembles: Predict bike demand in Washington DC
Clustering: Classify Iris flowers
Recommendation: Build a movie recommender