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Data Science With C# and ML.NET

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# Data Science with C# and ML.NET

![Data Science with C# and ML.NET](https://raw.githubusercontent.com/mdfarragher/DSC/master/assets/DSC.jpg)

This repository contains all course assignments of my **Data Science with C# and ML.NET** 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/datascience-with-csharp

# Table of contents

Transforming data: [Processing California housing data](./LoadingData/CaliforniaHousing)

Regression: [Predict taxi fares in New York](./Regression/TaxiFarePrediction)

Case study: [Predict house prices in Iowa](./Regression/HousePricePrediction)

Binary classification: [Predict heart disease in Ohio](./BinaryClassification/HeartDiseasePrediction)

Case study: [Detect credit card fraud in Europe](./BinaryClassification/FraudDetection)

Multiclass classification: [Recognize handwriting](./MulticlassClassification/DigitRecognition)

Evaluating models: [Detect SMS spam messages](./BinaryClassification/SpamDetection)

Case study: [Flag toxic comments on Wikipedia](./MulticlassClassification/FlagToxicComments)

Decision trees: [Predict Titanic survivors](./BinaryClassification/TitanicPrediction)

Case study: [Predict Diabetes in Pima indians](./BinaryClassification/DiabetesDetection)

Ensembles: [Predict bike demand in Washington DC](./Regression/BikeDemandPrediction)

Clustering: [Classify Iris flowers](./Clustering/IrisFlower)

Recommendation: [Build a movie recommender](./Recommendation/MovieRecommender)

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