This project uses Machine Learning to classify Iris flowers into three different species based on their physical measurements. The classification is performed using the K-Nearest Neighbors (KNN) ...

核心思想：“物以类聚”，看一个样本最近的 k 个邻居是什么类别，就把它归为哪一类。

Model Highlights: • Implemented KNN for classification tasks • Worked with feature scaling and distance metrics • Built a simple yet effective non-parametric model • Performed training, prediction, ...

课程特别引入大语言模型（LLM）辅助科研新范式，从Ollama本地部署到LangChain射频智能体开发，帮助学员掌握AI Agent构建方法，推动射频信号智能处理技术向自动化、精准化、自适应方向发展。 核心目标：系统学习射频数据集的构建方法，掌握CNN、LSTM、Transformer ...