Thank you for visiting DataScienceWay. If you have a question about a tutorial, have spotted an error, or would like to suggest a topic, I would be glad to hear from you.
Email: [email protected]
What to include
- The link to the post you are writing about, if relevant.
- For code problems: the error message, your Python/library version and what you expected to happen.
- For corrections: the section concerned and what you believe is wrong.
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I aim to reply within a few working days. I cannot offer one-to-one consulting or debug private projects, but reader questions often become new tutorials.
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