ML.NET Full Roadmap 2025 🚀 | Learn Machine Learning Using C# & .NET

Описание: Want to do Machine Learning but don’t want to leave your favorite .NET ecosystem?
This video explains ML.NET — Microsoft’s open-source ML framework — and gives you a step-by-step roadmap to become an AI-powered .NET Developer in 2025.

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📘 What You’ll Learn:
🔹 What is ML.NET and how it works
🔹 Difference between ML.NET and Python-based ML (TensorFlow, Scikit-learn)
🔹 Real use cases:

Predictive analytics
Sentiment analysis
Recommendation systems
Image classification


🧠 ML.NET Learning Roadmap (2025)
Phase 1 – Prerequisites:
C# basics, LINQ, and .NET Core fundamentals
Math & Statistics for ML (basic level)


Phase 2 – Core ML.NET:
Understanding Model Builder
Data loading, training, and evaluation
Regression, Classification, and Clustering


Phase 3 – Advanced Integration:
Integrating ML.NET with ASP.NET Web APIs
Using ONNX and Azure ML models inside .NET
Deploying ML models on cloud


🎯 Outcome:
After this video, you’ll know how to become a Machine Learning Engineer using .NET — no need to switch to Python!

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