Many of you have asked me to share my presentation notes, and now… I have them for you! Download all the PDFs of my Notion pages at www.emmading.com/get-all-my-free-resources. Enjoy!
Hi Emma, very informative video. Thanks for working on all these types of videos and sharing with us. Wanted to know is your notion page public? or can you share if possible.
Hi Emma, Can decision trees handle string categorical values (For example "gender" column takes "M" or "F"). Is it not necessary to convert the strings to numericals?
How do we deal with a category that appears for the first time in the test data? For examples, I the training data I have a column for the jobs. The training data contains these jobs: Doctor, Nurse, Lab technician, Administrator I used one hot encoding for the job column. What if the test data has an additional job Surgeon? How do we handle this situation?
Hi Emma, thank you soo much for this insight. Addition to this i also want to know how to handle large datasets like very large datasets because i was asked in an interview but i was unable to answer it correctly. So wanted to know from you how to handle very huge datasets and how to load ? what steps you would take to load these datasets. If you can make one video on this topic that would be great.
Many of you have asked me to share my presentation notes, and now… I have them for you! Download all the PDFs of my Notion pages at www.emmading.com/get-all-my-free-resources. Enjoy!
Thanks for the informative video Emma! Love the Notion notes you created
So glad you enjoyed it! Thank you for watching. 😊
Thank you. Merry Christmas and Happy New Year!
How I convert pincode /postal code
Hi Emma, very informative video. Thanks for working on all these types of videos and sharing with us. Wanted to know is your notion page public? or can you share if possible.
I have been waitiing for these as well. :)
Of course! I'm working on getting all notes organized and sharable in one location, will let you know as soon as they are ready! :)
@sukumargv @hsuya3925 Here you go! You can now download all the PDFs of my Notion pages at www.emmading.com/get-all-my-free-resources. Enjoy!
Hi Emma, Can decision trees handle string categorical values (For example "gender" column takes "M" or "F"). Is it not necessary to convert the strings to numericals?
All ML algorithms require to convert the strings into numerical values. Even NLP does it. Hope it helps.
Hi, Emma, thank you very much for the informative video, I really learned a lot from it! Keep up the good work❤
How do we deal with a category that appears for the first time in the test data? For examples, I the training data I have a column for the jobs. The training data contains these jobs:
Doctor, Nurse, Lab technician, Administrator
I used one hot encoding for the job column. What if the test data has an additional job Surgeon? How do we handle this situation?
Hi Emma, thank you soo much for this insight. Addition to this i also want to know how to handle large datasets like very large datasets because i was asked in an interview but i was unable to answer it correctly. So wanted to know from you how to handle very huge datasets and how to load ? what steps you would take to load these datasets. If you can make one video on this topic that would be great.
Hi Emma, thank you for the very informative video. It would be great to discuss embedding methods for handling categorical data.
Great suggestion! I've added it to my list of content ideas. 😊 Thanks for watching!
thank you but you didnt clarify much how to use hashing method