Hi Aman, In the last scenario, where Loan Amount = 200, it traverses the left branch. For Id > 2, in the right branch we have 2 records. Here at 6:34, you say both the ID have "Load Status" as Good, so based on Majority voting Good is predicted. What if here Good and Bad are present? How can we predict in this case? Thanks in advance
Really good material, but I think would be even better if you create some more playlists, or a giant ordered playlist. Definitely will make it easier for people to follow the string of videos. :)
Hello, Please check in my playlist section, u will find videos grouped. ruclips.net/user/UnfoldDataScienceplaylists?view_as=subscriber Please let me know if you were looking for something else.
@@UnfoldDataScience yes, I'm using those playlists but I can see that many of your amazing videos might not be there, e.g. the ones for logistic regression and decision trees. If I missed them then please let me know.
4:35 What is the reason for taking ID>2? Then at 4:53, you said that we only have 1 ID greater than 2 which is 4 while 3 is also greater than 2. how can you say we only have 1 id greater than 2?
Useful information... Good presentation Aman
Thanks a lot
You're awesome!! A week away from my exams and I'm so lucky to have found your channel!
Hi Aman,
In the last scenario, where Loan Amount = 200, it traverses the left branch. For Id > 2, in the right branch we have 2 records. Here at 6:34, you say both the ID have "Load Status" as Good, so based on Majority voting Good is predicted. What if here Good and Bad are present? How can we predict in this case?
Thanks in advance
Superb 7 minutes video (Y)
Thanks again Maryam.
Could you make a video on different types of decision tree like ID3 , CART and others ? I really like your explanation.
how simple,concise and beautiful is your explanation
Thanks a lot Hassan😊
Another important topic covered in simple words.👌👍👏
Prerana Tiwary Thanks for your boost.
Thank you
Thank you.
simple and clear on decision tree. thank you so much. i recommend all to see.
Thanks alot Pragnesh 🙂
This topic is relatively important for me thank you sir
Most Welcome.
You are soo Good. Thank you so much, Aman.
Welcome. Your comments are precious.
Loved the way you explained such complex models in easy way
Thanks for liking Salman. Keep Watching :)
ur explanation is very good.
Thanks Umesh.
Thanks Aman sir 🤗
Welcome Aniket.
Really good material, but I think would be even better if you create some more playlists, or a giant ordered playlist.
Definitely will make it easier for people to follow the string of videos. :)
Hello, Please check in my playlist section, u will find videos grouped.
ruclips.net/user/UnfoldDataScienceplaylists?view_as=subscriber
Please let me know if you were looking for something else.
@@UnfoldDataScience yes, I'm using those playlists but I can see that many of your amazing videos might not be there, e.g. the ones for logistic regression and decision trees. If I missed them then please let me know.
Sir, ek video k-means clustering pe bna dete toh acha hota..it's very difficult to understand
Will create Shubhangi. Noted.
great video. thank you!
Welcome.
love ur lectures
Thank you.
Great work!!!! Beautifully explained
Thanks Subhadip. Happy Learning . tc :)
Thank you for the video
superb explanation
Thanks for liking
great bhai
Thanks a lot for watching
Good .keep it up
Thank you.
Nice explantion anna
Amazing.
Thank you Aneesh.
Awesome explanation.
Thank you.
Good broh
Good explanation. keep it up
Thank you vinay, I will
How can we get a internship in ml
how do u select
In wich basis the algorithm defined cutoff for the feature .for ex id more than 200.
Hi Mazen, just an example I took. In practical implementation, python will check for various values in the data set.
4:35 What is the reason for taking ID>2? Then at 4:53, you said that we only have 1 ID greater than 2 which is 4 while 3 is also greater than 2. how can you say we only have 1 id greater than 2?
I will check
@@UnfoldDataScience thank you. I'm waiting for your reply because I'm gonna teach this to students next week
on what kind of dataset we will decide that we have to use Decison Tree algorithm not any other kind of algorithm...
Mostly we go for ensemble techniques, plain DT is used less in real world
Sir,
Should I take work-from-home internship related to data science? Are these internships a good thing to add into my resume? Please help
Hi, it can be a good thing to put in your resume. You should just focus on good learning.
How the condition will be choosen?
Gini, entropy, search for "gini index unfold data science" On RUclips
What if there are equal number of classes of a node, how would it predict for new test data
Where is entropy 🤔🤔
What is majerety, is he talking about majority?
Yes, Majority, sorry for mis pronunciation, will work on it.
Id doesn’t make sense in this example, should have added a colume like “income” instead
Yes correct, id does not make much sense. Just to keep data set simple I used Id. Thanks for feedback, happy learning!
lamborghini
This just a series of if statements