qizheng3/Machine-Learning-Assignments — reverse-engineered prompt

Build me a simple machine learning coursework project in Jupyter notebooks, split into three assignments.

The first notebook should do movie sentiment analysis, so a user can load movie review text, train a model, and see whether new reviews are positive or negative. The second should be a recommender system, where a user can load ratings data and get item or movie recommendations. The third should handle image recognition and classification, with a basic training flow, predictions on sample images, and clear accuracy results.

Please keep it beginner friendly and explain what each step is doing in plain language inside the notebooks. Include data loading, cleaning, training, testing, and a few simple visual results where they help. If real datasets are not included, use small public datasets or make the notebook easy to connect to one. Make sure everything can run from a fresh checkout with clear setup instructions. Look up current docs online if you need to.