Python: Scatterplots, Linear Regression, Heteroscedasticity
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- เผยแพร่เมื่อ 14 ต.ค. 2024
- Notebook: drive.google.c...
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I watched this video like a documentary, thanks for making these
great, compact and understandable Sir, enjoyed it
17:34 / 49:22 sir it might be as the range is exclusive of the upper bound so it did not displayed for 64th
Thanks for this content Mark, great job mate
36:39 shade is depreciated. use fill=True instead
You are explaining it really very well 🔥
Please share the book /material that you are displaying here in the video and also the Google colab file of codes.
That would be really helpful.
Thanks Shagun! I know I'm a month late, but I've added a link to the book in the description. The Colab file is linked to from the book.
@@MarkKeith Thank you for adding the link.I guess it requires to be purchased to access this book and it is way too expensive for me to purchase it as a student 😅 .
I really want to learn from this book. Could you please share if there is any other way to access this book ?
@@shagunbansal2003 I totally understand. Unfortunately I can't share the book since the publisher holds the copyright. But that's why I publish the videos. I'll be adding more soon
@@MarkKeith okay thank you ...will be waiting for more such enriching videos😀
How do you get suggestive code? If I type df. It doesn't suggest the next thing like yours does.
I’m paying $10 a month for the Colab pro version.
Sorry, I just realized that this is an older video before the Colab AI. Sometimes I get the suggestive code and sometimes I don’t. I think there is a shortcut to make it pop up though.
@@MarkKeith yeah I figured out it was from colab. I was jusing jupyter notebooks. Thanks for making the tutorial.
@@The-narrow-gate you can have suggestion in jupyter too. Just google it