Nice explanation. I have one doubt. this is increasing mode so we use y=(3*x)+1 . if we have a both increasing and decreasing mode how can we use. please Reply
good question , that is covered in part 2 and 3 video check it out and if you still have queries let me know . Part 2 and 3 videos are available in below playlist . ruclips.net/video/LioGxTJ2Du0/видео.html&pp=iAQB
yes bro , watch the playlist section in my channel it will have theory and practical session videos for most of ml algorithms. Like Share subscribe if found helpful .
Sir . I like your Linear regression which is suitable for my thesis . so I have one clarification sir , I use 10 years data , Is it possible for using these much of data.
thanks Leela Devi ,share and subscribe if found helpful . What usecase are you building using linear regression using 10year data ? Having lots of data is god as model will get to learn different patters in it .Make sure to check and remove outliers
If the orders were scattered and random for example something like Jan - 5, feb-30, mar-4, apr-100, may-27, jun-9, jul-0, aug-14, sep-44 Is it possible still to use linear regression
This example is time series and I believe not regression type . Predicting price of house - sq feet vs price linearly related . If area increases price increases . How could we say if month increases sales increases?
@4.31 I have mentioned that this example is just for demo . You can consider feature as 'no of advertisement published in a channel' instead of 'months' .
@4.31 I have mentioned that this example is just for demo . You can consider feature as 'no of advertisement published in a channel' instead of 'months' .
ila bro anda example vandu just to get a basic understanding of LR & slope&intecept , real time scenario la perfect pattern ah capture para slope/intercept kedaikadu so we have to choose the one that gives less cost . Watch all the video in this LR playlist where i have explained about it more in detail . ruclips.net/video/wFAwH9VX2Go/видео.html
Sir . I like your Linear regression which is suitable for my thesis . so I have one clarification sir , I use 10 years data , Is it possible for using these much of data.
thanks Leela Devi ,share and subscribe if found helpful . What usecase are you building using linear regression using 10year data ? Having lots of data is god as model will get to learn different patters in it .Make sure to check and remove outliers
you have my bless bro,keep doing well
glad it helped you :)
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Romba thanks bro, very good explanation, will explore full playlist!
glad it helped you :)
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thalaiva vera level niraya video pathen enaku onum puriyala but today unga video kanula patuchu semaya understand achu super thalaiva
nandri bro for the comments , like,share,subscribe if found helpful
Thank you so much for very clearly you explained and given your wonderful time to us.
glad it helped you :)
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Bro unga explanation and teaching sema 😀
Thanks .
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Your teaching is good . Be Continue . All the best.
thank you for the feedback . like ,share ,subscribe if found helpful
Vera level explanation, thank you so much
glad it helped you. :)
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Thanks a lot for the video. Helped to understand better the exercises
glad it helped you :)
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super explanation and we want more algorithm video,please updates as soon as possible
Will upload soon
You made a clear explanation. Thanks for that. Continue your good work.
thanks bro for the feedback . Like Share subscribe if found helpful .
Great explanation 🎉
thank you.
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Vera level na.... Kindly upload more videosssss ..svm knn,main ah statistical conceps na
sure nanba
BRO.....your simple way of explanation is really excellent.......keep it up bro....thanks....🙌🙌🙌🙏🙏🙏
thanks bro for the feedback ! Like Share subscribe if found helpful and check the other playlist videos !
Nice brother.. please upload more machine learning algorithms video
thanks for the feedback bro , will upload soon
Thank you for valuable information sir, please upload various types of algorithms. 🙏🙏🙏
glad it helped !
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Nice explanation. I have one doubt. this is increasing mode so we use y=(3*x)+1 . if we have a both increasing and decreasing mode how can we use. please
Reply
good question , that is covered in part 2 and 3 video check it out and if you still have queries let me know .
Part 2 and 3 videos are available in below playlist .
ruclips.net/video/LioGxTJ2Du0/видео.html&pp=iAQB
Nice Explanation :)
thanks
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Thanks for the video
glad it helped you. :)
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Super brother
thanks bro Please subscribe and share if found helpful
great job
glad it helped you :)
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Excellent
thanks , like share subscribe if found helpful !
Super explanation anna ❤, practical session available or not?
yes bro , watch the playlist section in my channel it will have theory and practical session videos for most of ml algorithms.
Like Share subscribe if found helpful .
@@PythonOdyssey_ajith 🙏🏻🙏🏻
I have some topics under ML which I don’t understand. Can you please help me understand?
sure , please post your queries.
Thanks .
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Sir . I like your Linear regression which is suitable for my thesis . so I have one clarification sir , I use 10 years data , Is it possible for using these much of data.
thanks Leela Devi ,share and subscribe if found helpful .
What usecase are you building using linear regression using 10year data ? Having lots of data is god as model will get to learn different patters in it .Make sure to check and remove outliers
If the orders were scattered and random for example something like
Jan - 5, feb-30, mar-4, apr-100, may-27, jun-9, jul-0, aug-14, sep-44
Is it possible still to use linear regression
have covered this kind of scenario in part3 of this video , you can watch it from below link .
ruclips.net/video/wFAwH9VX2Go/видео.html
This example is time series and I believe not regression type .
Predicting price of house - sq feet vs price linearly related . If area increases price increases .
How could we say if month increases sales increases?
@4.31 I have mentioned that this example is just for demo .
You can consider feature as 'no of advertisement published in a channel' instead of 'months' .
very good
thanks , Like Share subscribe if found helpful and check the other playlist videos !
I want to know about how you do animation
month is time bro.... How can u predict????
@4.31 I have mentioned that this example is just for demo .
You can consider feature as 'no of advertisement published in a channel' instead of 'months' .
Bro..Can you share your PPT
sorry bro i don't have the ppt took this video long back .
9 th month sales 29 ah irunthu 10month sales 31 ah iruntha intha formula set aakuma
ila bro anda example vandu just to get a basic understanding of LR & slope&intecept , real time scenario la perfect pattern ah capture para slope/intercept kedaikadu so we have to choose the one that gives less cost .
Watch all the video in this LR playlist where i have explained about it more in detail .
ruclips.net/video/wFAwH9VX2Go/видео.html
Good
Thanks
Bro i need more algorithm's For machine Learning
sure bro will upload soon . like,share,subscribe if found helpful
Bro your email I'd sent me bro
python.odyssey@gmail.com
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Sir . I like your Linear regression which is suitable for my thesis . so I have one clarification sir , I use 10 years data , Is it possible for using these much of data.
thanks Leela Devi ,share and subscribe if found helpful .
What usecase are you building using linear regression using 10year data ? Having lots of data is god as model will get to learn different patters in it .Make sure to check and remove outliers