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@Data Professor, For Explainable AI, I think Dalex is a good wrapper for a lot of explainable methods and it comes with an ebook to explain the theory behind it :-) github.com/ModelOriented/DALEX
@@pascal9337 Thanks for the comment. Highly agreed with you, I'm looking into creating a future video on DALEX, it's very intuitive indeed for comparing ML methods as well as methods from different languages
Yes it certainly is, explainable AI is an important topic, have you wstched these 2 other videos on the topic th-cam.com/video/ZgypAMRcmw8/w-d-xo.html and th-cam.com/video/TaNfYKaid80/w-d-xo.html
Thank you for the content. FYI : The show_in_notebook(show_table = True ) works as well in colab, but I can not get it to work within VS Code. Nonetheless :-) Merry Christmas !
Can we use multiple text folders for LIME analysis? Also, for machine learning can we use text folders containing full-text of thousands of documents? For most of the videos, I have seen on youtube and on the Internet, everyone used CSV files containing abstracts or titles. I am curious if we can perform machine learning and LIME on a full-text corpus.
@@DataHeroes Thank you for your reply! I have applied topic modeling on around 5,000 full-text dissertations for my Ph.D. research and want to make supervised machine learning model for it. So, should I convert the 5,000 dissertations into CSV format with the assigned topic (which I got from topic modeling) or the metadata (i.e. title or abstract) with the assigned topic is enough to build a machine learning model? For such Multi-label classification model will LIME work as explained by you in the video?
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Make one on shap also
@@yashsatwani8972 Thanks for the suggestion, a future video on this is in plan 😁
@Data Professor,
For Explainable AI, I think Dalex is a good wrapper for a lot of explainable methods and it comes with an ebook to explain the theory behind it :-)
github.com/ModelOriented/DALEX
@@pascal9337 Thanks for the comment. Highly agreed with you, I'm looking into creating a future video on DALEX, it's very intuitive indeed for comparing ML methods as well as methods from different languages
What a great way to explain our models to non technical stakeholders
Yes it certainly is, explainable AI is an important topic, have you wstched these 2 other videos on the topic th-cam.com/video/ZgypAMRcmw8/w-d-xo.html and th-cam.com/video/TaNfYKaid80/w-d-xo.html
@@DataProfessor I hadn't but am going to not after letting me know that there more related videos. Thank You
The thumbnails are getting better! I thought your voice was a little deep until I read the description
Haha, Thanks Andrew, appreciate the kind words 😁
Thank you for the content. FYI : The show_in_notebook(show_table = True ) works as well in colab, but I can not get it to work within VS Code. Nonetheless :-) Merry Christmas !
Thanks for watching, Merry Christmas!
Great Content keep up the good work
Thanks for watching 😊
Can we use multiple text folders for LIME analysis? Also, for machine learning can we use text folders containing full-text of thousands of documents? For most of the videos, I have seen on youtube and on the Internet, everyone used CSV files containing abstracts or titles. I am curious if we can perform machine learning and LIME on a full-text corpus.
@@DataHeroes Thank you for your reply! I have applied topic modeling on around 5,000 full-text dissertations for my Ph.D. research and want to make supervised machine learning model for it. So, should I convert the 5,000 dissertations into CSV format with the assigned topic (which I got from topic modeling) or the metadata (i.e. title or abstract) with the assigned topic is enough to build a machine learning model? For such Multi-label classification model will LIME work as explained by you in the video?
Can this LIME work for regression model prediction ?
@@DataHeroes any simple example, on how to use it for regression problems?
Awesome 😍💋 💝💖♥️❤️
Thanks for watching!