Disclaimer
Last Updated: May 14, 2026
FrancisBurnet.com is a personal educational portfolio website created to document coursework, capstone projects, technical demonstrations, and applied learning related to artificial intelligence, data science, machine learning, deep learning, software development, and related technologies.
The content on this website is provided for educational, informational, and portfolio demonstration purposes only. It is not professional, legal, financial, medical, engineering, academic, employment, compliance, or business advice.
Educational Portfolio Only
This website may include class-related summaries, project explanations, code walkthroughs, datasets, notebooks, screenshots, generated charts, model outputs, downloadable artifacts, and links to third-party learning tools. These materials are intended to demonstrate learning progress, technical reasoning, project organization, and implementation concepts.
Any references to courses, programs, platforms, technologies, companies, products, or trademarks are provided for identification and educational context only. FrancisBurnet.com is not an official website of Microsoft, Simplilearn, Google, TensorFlow, or any other third-party platform unless specifically stated in writing by that party.
No Guarantee of Accuracy or Completeness
Although reasonable effort is made to present accurate and useful information, this website may contain errors, outdated information, incomplete examples, experimental outputs, or draft-stage project materials. Machine learning models, artificial intelligence workflows, statistical outputs, charts, and predictions shown on this website may be based on limited datasets, sample data, training exercises, or educational assumptions.
You should not rely on any result, model, prediction, visualization, recommendation, or technical explanation from this website as the sole basis for a real-world decision.
Artificial Intelligence and Machine Learning Outputs
AI, machine learning, and data science demonstrations on this website may produce outputs that are approximate, probabilistic, incomplete, or incorrect. Model performance shown in capstone projects is tied to the specific data, assumptions, training process, code, and evaluation method used in that project.
Any AI or machine learning output should be independently reviewed, validated, and tested before being used in a production, business, academic, legal, financial, health, safety, or compliance-related environment.
Third-Party Tools, Embeds, and Links
This website may link to or embed third-party services, including but not limited to Google Colab, Google-hosted tools, TensorFlow Playground, open-source software repositories, documentation websites, learning platforms, and external resources.
FrancisBurnet.com does not control third-party websites, platforms, embeds, cookies, security practices, availability, pricing, data policies, license terms, or content. Use of any third-party service is subject to that third party's own terms, privacy policy, licensing rules, and user requirements.
Course Materials, Datasets, and Open-Source Content
Some content on this website may be based on educational assignments, publicly available datasets, open-source tools, course exercises, class instructions, or third-party documentation. All third-party materials remain the property of their respective owners.
Where required, third-party licenses, copyright notices, dataset terms, and attribution requirements should be followed. If a project page includes a course file, assignment PDF, dataset, code library, or embedded third-party tool, that material may be subject to separate restrictions.
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This website is provided "as is" and "as available." FrancisBurnet.com makes no warranties or guarantees about the accuracy, reliability, completeness, availability, security, usefulness, or fitness of any content, tool, file, artifact, model, notebook, link, or output provided on the website.
Use at Your Own Risk
By using this website, downloading files, opening notebooks, running code, clicking third-party links, or interacting with embedded tools, you accept responsibility for your own use of the information and technology. You should review code, files, links, and third-party services before using them.
Contact
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