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Explore machine learning capabilities in .NET through a practical conference talk that demonstrates how to build a Titanic survival prediction model using ML.NET and C#. Learn to leverage Microsoft's ML.NET SDK within Visual Studio to create machine learning solutions without requiring Python expertise. Discover how to approach the famous Kaggle Titanic Challenge by implementing classification algorithms to predict passenger survival based on historical data. Understand the fundamentals of machine learning model training, data preprocessing, and feature engineering using familiar .NET development tools. Gain insights into how businesses can integrate machine learning capabilities into existing .NET applications with minimal complexity. Follow along as the speaker walks through the complete development process, from data analysis to model deployment, while debunking the myth that effective machine learning requires Python programming. Master practical techniques for evaluating model performance and making predictions on new data sets using the ML.NET framework's built-in algorithms and Visual Studio's integrated machine learning tools.
