1. Acceptance of Terms
By accessing and using machinelearningplus.com (“the Website”), operated by MachineLearningPlus (“we,” “us,” or “our”), you agree to be bound by these Terms of Service. If you do not agree with any part of these terms, please do not use the Website.
2. Description of Service
MachineLearningPlus is an educational platform that provides free tutorials, articles, guides, and code examples on topics including machine learning, data science, Python programming, and artificial intelligence. We also offer a newsletter subscription for educational content delivered via email.
3. Use of the Website
You agree to use the Website only for lawful purposes and in a manner that does not infringe the rights of, or restrict or inhibit the use of the Website by, any third party. Specifically, you agree not to:
- Reproduce, duplicate, or republish entire articles, tutorials, or substantial portions of our content without prior written permission
- Use automated tools (scrapers, bots, crawlers) to extract content from the Website beyond what is permitted by our
robots.txtfile - Attempt to gain unauthorized access to the Website, its servers, or any associated systems
- Use the Website to distribute malware, spam, or any harmful content
- Misrepresent your identity or affiliation when interacting with the Website
4. Intellectual Property
All content published on this Website — including text, images, graphics, logos, code examples, and page design — is the intellectual property of MachineLearningPlus unless otherwise attributed. This content is protected by applicable copyright and intellectual property laws.
Permitted Use
- You may use individual code snippets from our tutorials in your own personal or commercial projects
- You may share links to our articles on social media and other platforms
- You may quote brief excerpts (with proper attribution and a link back to the original article)
Prohibited Use
- Republishing entire articles or tutorials on other websites, platforms, or publications without written permission
- Using our content to train AI models or for systematic data collection without authorization
- Removing copyright notices, author attributions, or branding from any content
5. Code Examples and Tutorials
Code examples, scripts, and technical tutorials on this Website are provided strictly for educational purposes. While we make every effort to ensure accuracy:
- Code is provided as-is without warranty of any kind
- We do not guarantee that code examples will work in all environments, versions, or configurations
- You are solely responsible for testing, modifying, and validating any code before using it in production or critical applications
- We are not liable for any damages, data loss, or issues resulting from the use of code found on this Website
6. Newsletter
By subscribing to our newsletter, you consent to receive periodic emails containing educational content, tutorials, and updates from MachineLearningPlus. You may unsubscribe at any time by clicking the unsubscribe link included in every email. We will not share your email address with third parties for marketing purposes.
7. Comments and User Contributions
If you submit comments, feedback, or other content through the Website, you grant MachineLearningPlus a non-exclusive, royalty-free, perpetual license to use, display, and distribute that content in connection with the Website. You are responsible for ensuring that your contributions do not violate any laws or the rights of third parties.
We reserve the right to remove any user-submitted content that is spam, offensive, misleading, or otherwise inappropriate, at our sole discretion.
8. Third-Party Links
The Website may contain links to third-party websites, tools, libraries, or services. These links are provided for convenience and informational purposes only. We do not endorse, control, or assume responsibility for the content, privacy policies, or practices of any third-party sites. Accessing third-party links is at your own risk.
9. Disclaimer of Warranties
The Website and all content are provided on an “as is” and “as available” basis. MachineLearningPlus makes no representations or warranties of any kind, express or implied, including but not limited to:
- The accuracy, completeness, or reliability of any content
- The availability or uninterrupted operation of the Website
- The absence of errors, viruses, or other harmful components
- Fitness for a particular purpose or non-infringement
10. Limitation of Liability
To the fullest extent permitted by law, MachineLearningPlus, its owner, and contributors shall not be liable for any direct, indirect, incidental, consequential, or punitive damages arising from:
- Your use of or inability to use the Website
- Any errors, inaccuracies, or omissions in the content
- Any loss of data, profits, or business opportunities
- Any unauthorized access to or alteration of your data
11. Indemnification
You agree to indemnify and hold harmless MachineLearningPlus, its owner Selva Prasanna, and any contributors from any claims, losses, liabilities, damages, costs, or expenses (including reasonable legal fees) arising from your use of the Website or violation of these Terms of Service.
12. Changes to These Terms
We reserve the right to update or modify these Terms of Service at any time without prior notice. Changes become effective immediately upon posting to the Website. Your continued use of the Website after any changes constitutes acceptance of the revised terms. We encourage you to review this page periodically.
13. Governing Law
These Terms of Service are governed by and construed in accordance with the laws of the State of California, United States of America, without regard to its conflict of law provisions. Any disputes arising under these terms shall be subject to the exclusive jurisdiction of the courts located in Alameda County, California.
14. Severability
If any provision of these Terms of Service is found to be unenforceable or invalid, that provision shall be limited or eliminated to the minimum extent necessary, and the remaining provisions shall remain in full force and effect.
15. Contact
If you have any questions about these Terms of Service, please contact us at:
MachineLearningPlus
Selva Prasanna
Zapotec Dr, Fremont, CA, USA
Email: team@machinelearningplus.com
Last updated: March 15, 2026
