Bagging Ensemble | Part 2 | Bagging Classifiers
HTML-код
- Опубликовано: 7 сен 2024
- In this continuation video, we dive deeper into Bagging Classifiers, a key component of Bagging Ensembles. Learn how Bagging Classifiers leverage bootstrap sampling and aggregation to enhance model performance and robustness.
Notebook Link : github.com/cam...
GridSearchCV : • Hyper-parameter Tuning...
============================
Do you want to learn from me?
Check my affordable mentorship program at : learnwith.camp...
============================
📱 Grow with us:
CampusX' LinkedIn: / campusx-official
CampusX on Instagram for daily tips: / campusx.official
My LinkedIn: / nitish-singh-03412789
Discord: / discord
E-mail us at support@campusx.in
What an explanation...perfect source of learning. Concept and implications with code, what a combination of teaching.
Thank you so much..
ye jo aapne custome tools banaye hain wo lajawab hain...koi yt teacher a se nahi shikhata....thank you very much sir.
iska link kaha hai??
share kar digiye please
@@sudhanshukumar3976 same
I didn't just like it, I LOVE it ❤
thoroughly explained everything.. you have really good knowledge about the topic. Thanks for making these videos.
I can't express in words how much i am thankful to yoo thanks Buddy 😃
This type of Indepth intuition helps sir..thanks!
Really Haff's of to the efforts that you put to make the understanding better ❤
Thank You Sir.
Thanks sir for this you explained everything
I think OOB is called out of Out Of Bag samples because Bootstrap Sampling means creating bags of samples that we will feed to our base models. Now the data points that were never sampled means that they were never bagged and so the name.
It is entirely an independent thought of mine and will be happy to be corrected
bhai koi phadu chiz nhi soch liya hai tu.. chill mar
ur lectures are always great
hi, base model me hum original dataset mese kitne dataset lete hai, i mean adha to lete hai random jo shuffle ho jata, aur bakika? please tell me accurately?
best of the best!
Very Well Explanation
Thanks
the best explanation
what is the website u are using at first to show different models at same time . can we use it for every kind of problem
Is it possible to share how to combined streamlit with your jupyter notebook to show such nice UI
Take a bow Sir
lots of love
Can you also make a playlist on how to make such thing using streamlit
finished watching
Can u make a video on how u make this web app using streamlit...it would be great to learn
awesome
best
If there is anyone with whom I can talk once before enrolling in the program, I have few queries, please reply
THANKS THANKS THANKS
Can we have the streamlit link for this?
sir I can't access your website
Can you please add the web-app link. Thank you.
Haven't uploaded these, as I ran out of server space. You can download and run these from Github. The link is provided
@@campusx-official The ipynb's are working great. Can you also provide all the streamlit app files (as a separate folder on github), as they are really helpful. Great thanks for your amazing work & effort. Commendable.
8:15