I’m looking for help building a straightforward classification model and a concise PowerPoint that explains how it works. Here’s what I need: • A basic, working classification model built in a familiar environment such as Python with scikit-learn, TensorFlow, or a comparable library. • Clean, well-commented code (notebook or script) plus the saved model file so I can reproduce the results on my machine. • A short PowerPoint deck (10–12 slides) that walks through the data preparation, model choice, key parameters, performance metrics, and a brief next-steps slide. I’ll provide the dataset (or point you to an open dataset) once we start. Keep the solution lightweight—no complex deployment or cloud setup is needed at this stage. When you apply, include links or brief summaries of past work on similar models so I can gauge fit quickly.