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We are glad you found our video helpful. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Great video. On the slide with the linear regression, it says that the error value is based on perpendicular (or shortest) distance which is incorrect. It’s based on the distance along the Y axis. The error is the error in the output (Y) not the shortest distance.
Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.
Your satisfaction is our top priority, and we're thrilled to hear that you had a positive learning experience with us! If you're interested in pursuing additional learning opportunities, we encourage you to take a look at certification courses in the description box.
First of all, great video! Just a quick note: in the word "probability", you want to put the stress on "bility", so it's prob-a-bility. Other than that, really good stuff!
Great video. At the 7:23 point you have "Its" instead of "It's." Its is the possessive pronoun and it's is the contraction for it is. This is a common error, but does not detract from the excellent information.
🔥Caltech Post Graduate Program In AI And Machine Learning - www.simplilearn.com/artificial-intelligence-masters-program-training-course?FxW7kdtP8&Comments&UA-cam
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?FxW7kdtP8&Comments&UA-cam
🔥Purdue - Post Graduate Program in AI and Machine Learning - www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?FxW7kdtP8&Comments&UA-cam
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - www.simplilearn.com/iitg-generative-ai-machine-learning-program?FxW7kdtP8&Comments&UA-cam
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - www.simplilearn.com/ai-machine-learning-bootcamp?FxW7kdtP8&Comments&UA-cam
You solved my many doubts in a single video. Thank you
loved the way you taught me...thank you so much for sharing the knowledge...
Glad it was helpful!
This video has summed up things so well
Many thanks for this very educational video, it is very well taught and very clear.
Glad it was helpful!
God bless you, sir.
Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
the best video I've ever watched of machine learning - thank you!
We are glad you found our video helpful. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Best intro to ML video on UA-cam ❤
appears highly useful for beginners to learn ML
We are glad you found our video helpful. Like and share our video with your peers and also do not forget to subscribe to our channel for not missing video updates. We will be coming up with more such videos. Cheers!
Great video. On the slide with the linear regression, it says that the error value is based on perpendicular (or shortest) distance which is incorrect. It’s based on the distance along the Y axis. The error is the error in the output (Y) not the shortest distance.
Superb explanation
Thank you 🙂
Thanks bro your teaching is amazing.
Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
by far the best ,, great work!
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The clearest explanation on KNN. Thanks a lot!
Hello thank you for watching our video .We are glad that we could help you in your learning !
You are good!!!! I love this explanation.
Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.
Very well explained!! Thx!! 😊
Your satisfaction is our top priority, and we're thrilled to hear that you had a positive learning experience with us! If you're interested in pursuing additional learning opportunities, we encourage you to take a look at certification courses in the description box.
Helped a lot
We are glad that you have enjoyed your learning experience with us : )
🎉🎊🎉🎊 very nice 👍 presentation and 🎉👋👋 explained very well
Thank you! Cheers!
such a nice explanation ,by seeing the video I have learnt this in a simple way THANK YOU SO MUCH.
You are most welcome
Good teacher :)
Thank you! 😃
very good explanation
Hello thank you for watching our video .We are glad that we could help you in your learning !
It's very useful. Thanks for the hard work !
You are welcome!
Thank you so much for explaining this in such a simple way.
Glad it was helpful!
Thank you sir. The information was very useful.
Glad it was helpful!
Great explaination ❤️❤️
Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )
Thank you, that was quite helpful
Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )
❤️❤️❤️🔥🔥 thank you for the information and knowledge
You are so welcome
Thank you so much for simple explanation ,waiting for more such videos on AI and ML
Greetings! Thank you for your kind words. Spread the word by liking, sharing and subscribing to our channel! Cheers :).
Thank you for this informative video. May I know what app/tool have you used to create this training video?
Glad you liked it!
Thank you
You're welcome
Modern material about machine learning. Informative and relevant.
True that! Thanks for watching our video.
🎉 thank you its useful
Best Sir G
A very nice video.
Nice content covered well
finished watching
Hello thank you for watching our video .We are glad that we could help you in your learning !
It's a good video. Thank You for it.
Glad you liked it!
Didi want ai and machine learning python series
Which algorithm is used for theft detection using computer vision?
Hi there are many algorithms but the CNN algorithm is one of them we can use for theft detection using computer vision.
Very gud brief summary
Hello thank you for watching our video .We are glad that we could help you in your learning !
First of all, great video! Just a quick note: in the word "probability", you want to put the stress on "bility", so it's prob-a-bility.
Other than that, really good stuff!
Thanks for the tips!
Thank u and the us video is brilliant but do u have the slides for this video available to download?
Hello, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
Nice video
Thanks!
Great video. At the 7:23 point you have "Its" instead of "It's." Its is the possessive pronoun and it's is the contraction for it is. This is a common error, but does not detract from the excellent information.
Thank you for bringing this to our attention. We’re sorry you had a bad experience. We’ll strive to do better
Sir, can i get the presentation please?
I need the presentation Sir,
For slides, you can check out our slideshare profile: www.slideshare.net/Simplilearn"
Is there any e book for this course
Hi Dharan, you can check out the best books for machine learning from this video: ua-cam.com/video/lXvPopmYJ5E/v-deo.html