Exploring Data Science in .NET Course
Learn Data Science using Polyglot Notebooks and ML.NET
This page is a placeholder for content related to my LinkedIn Learning course, Exploring Data Science in .NET using Polyglot Notebooks & ML.NET.
Learn Data Science using Polyglot Notebooks & ML.NET
A LinkedIn Learning course on Polyglot Notebooks and Data Science in .NET, featuring content on ML.NET.
This course is finalizing development and will be released in Q3 2024.
Additional Resources
If you enjoyed the course, you should check out my book covering the same topic in additional depth:
Learn data science using ML.NET, OpenAI, and Semantic Kernel
Data Science in .NET with Polyglot Notebooks teaches experienced .NET devs the fundamentals of data science, machine learning, and AI orchestration. It covers topics like ML.NET, OpenAI, Semantic Kernel, career development, and more.
Buy Data Science in .NET with Polyglot Notebooks on Amazon or through Packt in print and digital formats.
Some additional learning links may also be helpful on your journey:
General ML.NET Resources
- ML.NET Repository
- ML.NET Documentation
- ML.NET Tasks
- ML.NET Metrics
- ML.NET AutoML
- How to use the ML.NET Automated Machine Learning (AutoML) API
- ML.NET Model Algorithms (Trainers)
- Permutation Feature Importance
Classification
- Interpreting Confusion Matrixes
- Classification algorithms in ML .NET
- Evaluation Metrics for Binary Classification
- Classifying the Titanic
Regression
Saving, Loading, and Deploying Models
- Hosting ML.NET models in ASP.NET applications
- Save and load trained models
- Open Neural Network Exchange (ONNX)
- Using an ONNX model in ML.NET
