Learn how to build a real-time sentiment analysis app in C# using ML.NET and WPF—no Python or external APIs required. This hands-on guide walks you through training a custom model, integrating it into a desktop GUI, and making your .NET apps smarter with local machine learning.
Want to build intelligent applications using .NET? In this hands-on guide, you’ll learn how to use ML.NET to create machine learning models in C#—no Python or advanced math required. From predicting house prices to analyzing text sentiment, this beginner-friendly tutorial walks you through everything you need to start building real AI solutions in your .NET apps.
Learn how I built a real-time crypto trading bot in Python from scratch—complete with Binance API integration, modular strategies, CLI control…
Learn how to build a real-time sentiment analysis app in C# using ML.NET and WPF—no Python or external APIs required. This hands-on guide walks you through training a custom model, integrating it into a desktop GUI, and making your .NET apps smarter with local machine learning.
Want to build intelligent applications using .NET? In this hands-on guide, you’ll learn how to use ML.NET to create machine learning models in C#—no Python or advanced math required. From predicting house prices to analyzing text sentiment, this beginner-friendly tutorial walks you through everything you need to start building real AI solutions in your .NET apps.
Learn how I built a real-time crypto trading bot in Python from scratch—complete with Binance API integration, modular strategies, CLI control, paper trading, logging, and live deployment. Includes full source code and guide.
Discover why most crypto trading bots lose money and how to build a working, profitable bot with Python. Learn real-world lessons and get access to a 250+ page guide and working bot repo.
Learn how to structure and optimize your PyTorch training workflow. This guide covers dataset preparation, defining models, training loops, evaluation, and essential best practices for building efficient machine learning models.
Discover how to build powerful image recognition models using ML.NET. This comprehensive guide covers everything from data preprocessing and model training to deployment and fine-tuning, making it easy to integrate image classification and object detection into your .NET applications. Perfect for developers looking to leverage machine learning in real-world projects.
Delve into the cutting-edge world of Reinforcement Learning (RL) with C#. In this blog, we explore how you can harness the power of RL to build intelligent agents capable of learning and adapting from their environment. Whether you’re a seasoned C# developer or new to the field of AI, this post provides insights and practical guidance on integrating RL into your software projects, unlocking the potential of your applications to make smarter, more autonomous decisions.
Explore the transformative journey of C# as it seamlessly blends its object-oriented roots with powerful functional programming paradigms. From the inception of LINQ to the introduction of records and with-expressions, this post delves into the evolution and impact of C#’s functional features. Perfect for developers eager to harness the synergy of OOP and functional approaches in modern software development.
Dive deep into the world of Functional Programming (FP) within the C# ecosystem. From its historical origins to real-world applications, explore how C# elegantly marries Object-Oriented Programming (OOP) with FP, delivering powerful tools like LINQ, Lambda expressions, and more. Whether you’re a novice curious about FP or a seasoned C# developer eager to harness its potential, this comprehensive guide provides insights, examples, and resources to elevate your coding journey.