I’m about to start a computer science thesis in machine learning, and, at the moment, I have nothing prepared. I need help turning a blank page into a complete, submission-ready bundle. Here’s what I’m aiming for: • Thesis draft—roughly 40–50 pages covering introduction, related work, proposed method, experiment, results, and conclusion, with properly formatted citations. • Sample code—a well-commented Python notebook (TensorFlow or scikit-learn is fine) that reproduces the experiment described in the thesis. • Walk-through video—a 15- to 20 minute screen recording that shows the code running and explains the key findings. • Slide deck – 12–15 concise PowerPoint slides I can use for my viva or class presentation. Due to the limited budget, I’m seeking a solid initial draft and working prototype rather than an exhaustive, publication-level study. Clarity, originality, and the ability to explain decisions matter more than polishing every corner. If you’re comfortable with academic writing and hands-on ML coding, I’d love to see a relevant sample—perhaps a recent notebook you built or a paper you enjoyed. Mention one Machine Learning paper you find interesting so I know you’ve read this brief. Let’s build a strong foundation for this thesis together.