The thing which you mentioned today as a netflix case study, I figured out the same thing with udemy last month. I am an avid learner from udemy. But they stopped giving me discounts, so i tried to trick the algorithm by keeping courses in the cart and then not buying them for long time, also instantly refunding 4-5 courses. So the algorithm worked as you described and now I am getting full fledged discounts.
This video is really very important, because most of us, while doing project have mentality like "start krte h aage jo probelms aayengi solution dhoondh lenge" but no, we have to frame a path, As a Lead Data scientist we have to figure out everything.
00:00 Introduction to framing the problem 2:24 Case study example of Netflix for churn rate 6:23 Step 1: Business problem to ML problem 7:08 Step 2: Types of problem 12:24 Step 3: Current solution 13:33 Step 4: Getting data 15:09 Step 5: Matrics to measure 17:15 Step 6: Online Vs Batch? 19:15 Step7: check assumptions
Those , who wants to learn data science but not able to motivated ourselves so watch this addicted playlist . i am gaining so much knowledge , learning so many concepts . very nice playlist . Thank you so much sir for this interesting playlist.
i really found an amazing tutor for data scientist really great sir , i feel lucky that i watching your videos it helps me alot for gaining such imp knowledge , such a great tutor
I am really grateful that with ML, you are also sharing good practices + Experience which is not that easily available. Really telling, this is a fantastic content, other click baiters cant give the knowledge that he is giving.
Sir I am a student in pakistan. I am studying from the top IT university in pakistan, FAST NUCES. but the content, the learning you are providing is not comparable to any UA-cam channel till now!! and it will never be. JUST WOW!! the concepts you have, the way how you teach is incredible (considering data science is a new field)
Wondefully explained! Wonderful video as always. Thanku so much sir. Very greatful to u & ur channel & always will be. I considers myself very lucky to have a great teacher & awsome mentor in the form of u. 🙏🙏
But i have one question during a classification problem predicting 0 or 1 there is one thing called model surity like our model can give score of each prediction we did like model can give 60 score for 1 and 40 score for 0 so we don't need to predict through regression the score based on which he may leave or stay but we can use " model confidence " for it for eg if a model is so sure of a person leaving it will us 90 for 0 and 10 for 1 so we can give person specific discount based on that score
its very quick buddy may i know how canyou do within 5 or 6 days just i want to know mAY BE YOUR ARE WORKING U ARE ABLE TO GRAP QUICKLY I AM NEW MY TRAGET IS 1 MONTH KINDLY TELL ME WHAT IS YOUR APPROACH
@@ShivaPrasadkol-do1fjdon't mind.. it's not about only Watching..!! The more u practice along side the more grip u will have on topics..!! So u can watch 24/7 and see all videos but if u don't practc u will not be able to cope up... So take your time to practc .. It's 100% practical topic.. I have started this week only with 1 month target..
I did. Sir ka dsmp without practc bus class dekhte gaya..!! Last me I was not confident and karne gaya tab 0... I thought I knew, but nahi hua .!! So practice and do slowly... Jaldi ky h.. Remember to clear the fundamentals
The thing which you mentioned today as a netflix case study, I figured out the same thing with udemy last month. I am an avid learner from udemy. But they stopped giving me discounts, so i tried to trick the algorithm by keeping courses in the cart and then not buying them for long time, also instantly refunding 4-5 courses. So the algorithm worked as you described and now I am getting full fledged discounts.
That's the cool move!😃
Woah that's interesting😂🎉
Hahahaha 🤣
This video is really very important, because most of us, while doing project have mentality like "start krte h aage jo probelms aayengi solution dhoondh lenge" but no, we have to frame a path, As a Lead Data scientist we have to figure out everything.
00:00 Introduction to framing the problem
2:24 Case study example of Netflix for churn rate
6:23 Step 1: Business problem to ML problem
7:08 Step 2: Types of problem
12:24 Step 3: Current solution
13:33 Step 4: Getting data
15:09 Step 5: Matrics to measure
17:15 Step 6: Online Vs Batch?
19:15 Step7: check assumptions
Those , who wants to learn data science but not able to motivated ourselves so watch this addicted playlist . i am gaining so much knowledge , learning so many concepts . very nice playlist . Thank you so much sir for this interesting playlist.
Sir you are greate sir ever on utube .May Allah(God) give you the reward of your effort.
i don't know about Netflix but your content is the one of the thing which i do not wish leave
One of the best data science videos I've come across. Thank you so much for this.
i really found an amazing tutor for data scientist really great sir , i feel lucky that i watching your videos it helps me alot for gaining such imp knowledge , such a great tutor
I am really grateful that with ML, you are also sharing good practices + Experience which is not that easily available.
Really telling, this is a fantastic content, other click baiters cant give the knowledge that he is giving.
First time i'm addicted on watching playlist videos just becasuse your teaching style is so addicted, Thanks again for making content like that
This has to be one of the most useful and free content I've come across on UA-cam. Thank you so much for this playlist.
thank you sooo much for creating this amazing playlist again. you are awesome. one of the best educator on UA-cam.
Really helpful and good content. Your way of teaching is thoughtful and unique. Thank you for this playlist.
Best best best channel I found for Machine Learning. Thank you for all your efforts sir❤️❤️❤️
sir i watch your videos step by step with notes and laptop thank you you are amzing
😇😀😀😀😀😀😀
Thanks for sharing your knowledge in the most understanding way!!!
Sir, DS ki life ki feeling dila di...aapne....thank u nitish bhru...
Sir day 13 pe pahuch gya hopefully i will cross this tuff parts... All thanks to u
Thanks!
Sir I am a student in pakistan. I am studying from the top IT university in pakistan, FAST NUCES. but the content, the learning you are providing is not comparable to any UA-cam channel till now!! and it will never be. JUST WOW!! the concepts you have, the way how you teach is incredible (considering data science is a new field)
please let me support you. I don't want to watch this playlist for free
sir , you teach veryy well. THANK YOU SO MUCH for all your efforts!!
Thanks for sharing this knowledge.
Thanks sir😀
Thanks
God bless you. You are doing great Sewa. Expalined ML with so patiently and lovingly. God bless you. You are great
Wondefully explained! Wonderful video as always. Thanku so much sir. Very greatful to u & ur channel & always will be. I considers myself very lucky to have a great teacher & awsome mentor in the form of u. 🙏🙏
Such an amazing playlist. Made my Data Science journey so easy going. Thankyou sir
These type of intuitive approach videos are so important and you did an amazing job. Thank you for the video.
thank u sir love ur every video. the way to explain everything with so much ease this is outstanding again thank u so much. xo xo xo.
This video is best , accouding to future data science job , after a exprience you have been leadership posstion , thanks sir
Love u brother❤. u r awesome
This is really helpful. This is the exact structure I was looking for so I can structure my thoughts. Thanks you :)
Sir jo aap last mei motivation dete ho achha lagataa hai...
Best strategy to introduce topics to a newbie❤❤
Amazing content....God bless you...I'm binge watching your videos...playlist is awesome....
Thanks for the playlist! I'm really grateful to you for providing us such valuable lectures. :)
Thank you campus x for your support and dedication
It is a very insightful video, gave the perspective on how we can approach the problem.
dekh rahe hain, pura dekh rahe hain, aur dekhenge..
sir you are going to be the next physics wallah.😇
very well explained everything
Great insights mate and awesome playlist. Keep up the good work👍👍
On Of my Favorite Teacher
Privileged to be getting this content for free!
Course Started : ML
Lecture-01: 14/08/2024
Lecture-02: 14/08/2024
Lecture-03: 14/08/2024
Lecture-04: 14/08/2024
Lecture-05: 14/08/2024
Lecture-06: 15/08/2024
Lecture-07: 15/08/2024
Lecture-08: 15/08/2024
Lecture-09: 15/08/2024
Lecture-10: 15/08/2024
Lecture-11: 16/08/2024
Lecture-12: 16/08/2024
Lecture-13: 17/08/2024
Lecture-14: 17/08/2024
But i have one question during a classification problem predicting 0 or 1 there is one thing called model surity like our model can give score of each prediction we did like model can give 60 score for 1 and 40 score for 0 so we don't need to predict through regression the score based on which he may leave or stay but we can use " model confidence " for it for eg if a model is so sure of a person leaving it will us 90 for 0 and 10 for 1 so we can give person specific discount based on that score
Great video! I am very grateful for your all videos. Thanks much!☺
you are just awesome. very perfect playlist
Thank you So much
Best explanation ❤❤❤❤❤
I really really loved the content... superb!!
great
Dekh rahe h sir pura..
Nabj dekh rahe to ky kar sakte h was funny 😂. Aage ka dekhna . Haha
Bhai you are doing awesome work. Decided to watch complete playlist. I hope you could be active on Linkedin as well
Now I understand what the big picture is and how we must see it.
I put commend to hope that UA-cam algorithm recommendations suggest this playlist to more people.
great sir!!!
Insightful!
wow nice content sir
Seriously You are great ...
Watched till the end
great video sir😁
Excellent content 👌👌👌
thank you so much sir!!
finished watching
Great, Thanks
Great content! Can't thank enough
thanks a lot sir
Thanks 👌🙌😉
i have completed this video and i will complete this playlist very very soon within next 5-6 days
its very quick buddy may i know how canyou do within 5 or 6 days just i want to know mAY BE YOUR ARE WORKING U ARE ABLE TO GRAP QUICKLY I AM NEW MY TRAGET IS 1 MONTH KINDLY TELL ME WHAT IS YOUR APPROACH
@@ShivaPrasadkol-do1fjdon't mind.. it's not about only Watching..!!
The more u practice along side the more grip u will have on topics..!!
So u can watch 24/7 and see all videos but if u don't practc u will not be able to cope up... So take your time to practc ..
It's 100% practical topic..
I have started this week only with 1 month target..
I did. Sir ka dsmp without practc bus class dekhte gaya..!! Last me I was not confident and karne gaya tab 0... I thought I knew, but nahi hua .!! So practice and do slowly...
Jaldi ky h..
Remember to clear the fundamentals
Jp here,
Thank you sir :)
good
sir we are watching the whole video but way thanks
Day1 - already completed till Day 15 ! Awesome videos
thankyou!
Sir mujhe aapse pyaar ho gya hai...
can we get the slides in which you have written ?
sir
recommend any book for machine learning for beginner
16:02 OLTP nahi OLAP chahiye vahpe
Can you please add the English subtitles please for all these videos
is there any need to learn c++ or java for interview in big MNCs for data scientist role.
Done
@campusx
sir can you provide this files or notes
Sir,please make video on ray.io for Machine learning pipelines
Sir code machine learning expert ko jada Karna padta hai ya programmer ko plz tell me sir
Amount of code to programmers ko hi jyada likhna padta hai
done
Sir you are too good teacher ❤❤
Love
If Netflix saw this video earlier....they'd have avoided their subscriber loss 🤣🤣
Please eng-sub