7.1.3. Gradient Descent for Linear Regression

Hi! I will be conducting one-on-one discussion with all channel members. Checkout the perks and Join membership if interested: / @siddhardhan Check membership Perks: / @siddhardhan
. In this video, I explained about Gradient Descent for Linear Regression. You can understand what is meant by Gradient Descent from this video.
All presentation files for the Machine Learning course as PDF for as low as ₹200 (INR): Drop a mail to [e-mail]
Enroll at One Neuron to learn from 100 courses in one subscription with 5% discount: courses.ineuro...
Previous videos on Linear Regression: • Building Linear Regres...
Machine Learning Course with Python Playlist: • Machine Learning Cours...
Machine Learning Projects Playlist: • Machine Learning Projects
Hello everyone! I am setting up a donation campaign for my UA-cam Channel. If you like my videos and wish to support me financially, you can donate through the following means:
From India 👉 UPI ID : siddhardhselvam2317@oksbi
Outside of India? 👉 Paypal id: [e-mail]
(No donation is small. Every penny counts)
Thanks in advance!
Let's build a Community of Machine Learning experts! Kindly Subscribe here👉 tinyurl.com/md...
I am making a "Hands-on Machine Learning Course with Python" in UA-cam. I'll be posting 3 videos per week: Monday Evening; Wednesday Evening; Friday Evening.
Download the Course Curriculum File from here: drive.google.c...
LinkedIn: / siddhardhan-s-741652207
Telegram Group: t.me/siddhardhan
Facebook group: www.facebook.c...
Getting error in any of the codes that I have explained? Mail the details of the error to: [e-mail] Instagram: / siddhardhan23

[@adrijaguha5313]

Very good explanation of each and every topic. Loved it.

[@Siddhardhan]

Thanks a lot 😊

[@khalilchouikri3698]

First one to see. And I really need this

[@Siddhardhan]

😇😇

[@joserahul2495]

Loved it

[@skyi5987]

Thank you

[@harshkhandelwal9456]

wow, just wow

[@AbhishekShrivastav]

Hi Siddhardhan, thanks for this video. I have emailed you my query. Kindly have a look and revert. Thanks :-)