I’m launching a machine learning initiative centred on predictive modeling with image data. The goal is to craft a model that ingests raw images and returns accurate predictions for the target variable we’ll define together. I’ll give you access to the dataset and clarify the labelling details once we get started; if extra preprocessing or augmentation is advisable, I’m open to your suggestions. You’ll handle the full pipeline—data preparation, model architecture, training, hyper-parameter tuning, and rigorous evaluation. I prefer the work delivered in Python using industry-standard frameworks such as TensorFlow, Keras, or PyTorch, with clear, well-commented code so I can reproduce and extend the workflow later. Deliverables - Clean, structured scripts or notebooks for loading, preprocessing, training, and inference - Trained model weights plus an easy-to-run inference script or lightweight API endpoint - A concise report detailing experiments, performance metrics, and deployment recommendations Please flag any additional data requirements or compute needs up front so I can arrange them in advance. I value transparent communication and iterative checkpoints, and I’m excited to collaborate on a reliable image-based prediction pipeline.