Best explanation of pipelines than any channel I have gone through today. I am about to appear for my interview soon and had no idea about pipelines honestly but I always had these questions in my head about how all these individual steps will take place when I deploy my model on cloud, Now I know how it should work rather. Thanks.
Thank You very much Sir, You could have taught the same thing in 10 minutes but you took efforts to saw us consicounses of not using pipes so that we can understand the importance of the same. Hats off to your work. Thank youuuuuuuuuuuuuuuuuuuuuu.
Thank you Nitish Singh. Your teaching style is awesome but the thing that impresses me the most is how easily you present the complex looking concepts. Your 2+ years of long journey surely paid off.
Sir....tear in my eyes 🥺🥺 I thought problem in my side that I am dumb...But what you taught all are like diamond 💎 No one can take so much time even 50000 ₹ course to make concept clear.... But now I am sure the problem was not from my side or more pricisely, best teacher do not need bright student to teach they can make the dumb student bright😄🤗
There are no bad Students , only bad teachers. ( quote from Karate Kid) you were involved with wrong teachers, but now you have finally found the best teacher.
Very clear explanation. This is the first video on youtube in which each and every concept related to pipeline is explained very well. Great job sir, keep growing.
@@tusharkhatri5795 Because if we use fit on test set then the model will also learn the test set values and then there is very high risk of overfitting.
woww 💥❤🔥what an awsome vedio i am following all the vedios from few days , i got so thrilled while using this vedio , because i get to use all the things that i learnt from previous vedios , and what a well organized and well concept reprasented vedio . thankyou so much , i am doing masters in data science and AI in University of Liverpool , and even my lecturers cant teach this good .keep up the good work sir .
Hats off to you sir, the efforts and honesty you put into making any video to make everyone understand the concept in depth, are remarkable. This is what we call hard-earned success with full of honesty and dedication. This channel should reach a great height and will soon become one of the best channels for data science courses. Thanks and keep up the great work.🙌
Best videoes of the UA-cam..ur the best who gave the lots of effort without talking money..ty so much for giving such most valuable time for creating such a amazing video..it will clear all doubt regarding data Science....such a amazing playlist....🙏
Thankyou so much sir..i gained a lot...like massively a lot!!❤️❤️❤️... teacher's like you🙏🏻❤️❤️ gives us the motivation to study and explore more and more concepts ❤️
Making ML much much easier for every student out there....really you are an awesome teacher explained every procedure and techniques so clearly.... thankyou so much sir❤❤ best videos
Really thank you so much sir, itne easy tarike se smzhane ke liye. you know, mere ek friend ne kaha tumahre pas "Ineuron" ka subscription hai phir bhi tum campusx ke videos q dekhte ho? you know what i said "great content with easiness" . that why mai campus_x ke videos dekhta hu.
Correction :- trf1 se jo output aayega ... Vha columns k index change ho jayenge and in trf2 ... According to output from trf1 ... Sex col index = 3 and imputed_embarked col index = 1 ... So in trf2 use [1,3] instead of [1,6]
Hi Nitish, these videos on column transformers and pipelines are really amazing. Can you please also let me know how can I incorporate IQR based outlier detection using column transformer and pipeline? I tried doing it but was not able to get the desired results
Hi Nitish sir! Hope you are doing well Nitish sir. First of all, Thank you so much for all the knowledge that you are sharing with us free on UA-cam. Sir, I am a college student and tomorrow is my AI & ML engineer interview at a big tech company. I want to revise all the stuff that I learned for your UA-cam channel playlist 100 Days of Machine Learning. Can you please share with me your Microsoft One Note file which you used in your playlist? So I can revise all the concepts of ML in a few days for my first AI & ML interview. Again Thank you so much for all of your efforts which you give us on UA-cam without any fee. Kind Regards Aqil Saboor
Amazing video as well as a series. But just wanted to know as u said developer needs to write the code in production and change the code of the file **predict_without_pipeline file. But once we export our model we can handle this in our API's routes it is that hectic ?? validations laga diye to ho jaega just 1 hi bar to likhna hai code. But yes pipe mechanism is very clean and understandable
There is an slight issue in the Implementation logic . Since in above pipeline output of trf1 (imputation column transformer ) will be input to trf2(one hot encoding column transformer) . Since we have imputed the age[2] and embarked[6] column first and then PASSEDTHROUGH the remaining columns . Then the output of this trf1 columns will be in the order of (columns that we have imputed and then remaining columns) i.e :(age,embarked,pclass,sex,.......and other remaining columns) .Here the index of the columns has changed from the original dataframe (df1) . In the next step result from trf1 will be passed to trf2 . And we wanted to mention column sex and embarked (index 1 and 6 respectively in the original data frame but now the index of both have been changed) , which is a mistake . So if we want to specify the correct index of column sex and embarked in trf2 it will be 1 and 3 respectively .
I think this channel is better than Krish Naik's channel!
both are amazing,please don't make any comparisons,
yes bro,even i think this is more in depth and very clear
Indeed.....I have purchased tech neuron and definitely verify that
I also purchased tech neuron but it’s of no use…he’s better then kris naik…
Yes, Nitish isn't in hurry unlike krish😅
I gained more knowledge from this video than I have from an entire semester worth of classes in my university.
Keep up the good work Sir!!
Very well structured videos you've made Sir. God Bless Teachers like you who are helping students learn better.
Best explanation of pipelines than any channel I have gone through today. I am about to appear for my interview soon and had no idea about pipelines honestly but I always had these questions in my head about how all these individual steps will take place when I deploy my model on cloud, Now I know how it should work rather. Thanks.
Thank You very much Sir, You could have taught the same thing in 10 minutes but you took efforts to saw us consicounses of not using pipes so that we can understand the importance of the same. Hats off to your work. Thank youuuuuuuuuuuuuuuuuuuuuu.
Thank you Nitish Singh. Your teaching style is awesome but the thing that impresses me the most is how easily you present the complex looking concepts. Your 2+ years of long journey surely paid off.
Sir....tear in my eyes 🥺🥺 I thought problem in my side that I am dumb...But what you taught all are like diamond 💎
No one can take so much time even 50000 ₹ course to make concept clear....
But now I am sure the problem was not from my side or more pricisely, best teacher do not need bright student to teach they can make the dumb student bright😄🤗
There are no bad Students , only bad teachers. ( quote from Karate Kid)
you were involved with wrong teachers, but now you have finally found the best teacher.
@@tathagatasharma totally agree.. 👍
you wrote a good poem ." you should be a poet not data scientist "....... " Bad teachers with you. you should prey them by calling all mighty " ,
what a beautiful way to explain such a complicated topic...hats off to your efforts Sir. Love allots💗💗💗
Exactly
Man , your style of delivering the content is awesome !
you are making my journey a bit easier evryday .Thank you so much sir
Dada,Have you completed the whole playlist?
Very clear explanation. This is the first video on youtube in which each and every concept related to pipeline is explained very well.
Great job sir, keep growing.
can you please explain why he used fit transform at train_age while transform only at test at 8:22
@@tusharkhatri5795 Because if we use fit on test set then the model will also learn the test set values and then there is very high risk of overfitting.
Bhaiya, you're just a gem. Apka comparison kisi aur ke sath hoe nahi payega
I was lost like hell and here comes another great video with up to the core explanation.
Excellent code understanding and best teaching ever on UA-cam✨🔥
I really like your explanation, Please keep uploading more videos.
Well explained. Nowhere I found such a great detailed explanation like this. Thank You so much.
This video is literally gold brother for fresher Data scientists
It feels illegal to consume this content for free.... glad to come across this channel, can't stop myself binge watching this series
one of the best data science channel
woww 💥❤🔥what an awsome vedio i am following all the vedios from few days , i got so thrilled while using this vedio , because i get to use all the things that i learnt from previous vedios , and what a well organized and well concept reprasented vedio . thankyou so much , i am doing masters in data science and AI in University of Liverpool , and even my lecturers cant teach this good .keep up the good work sir .
sir I have never enjoyed learning ML before...You're actually the best!!
Teaching style is so good. I have learnt so much by you. Hats off to ur effort sir.
Ur incredible.... the way you teach..... simply amazing.... thank you for your efforts... giving you in free cost...
thank youuuuuuu! doing a bootcamp abroad (paid 8Lakh) .. understood nothing! this video is giving me more clarity than the bootcamp ever could!!
Hats off to you sir, the efforts and honesty you put into making any video to make everyone understand the concept in depth, are remarkable. This is what we call hard-earned success with full of honesty and dedication. This channel should reach a great height and will soon become one of the best channels for data science courses. Thanks and keep up the great work.🙌
Thanks a lot for this playlist. You have literally explained it so well and especially from the real project perspective. Thanks.
I love the way you teach my brother.
Love you from Bangladesh.
Thank you so much for the playlist
Sir, these videos are really helping me to understand ML concepts. Thank you so much, sir.
Best videoes of the UA-cam..ur the best who gave the lots of effort without talking money..ty so much for giving such most valuable time for creating such a amazing video..it will clear all doubt regarding data Science....such a amazing playlist....🙏
Excellent Sirji,Hats off to you.
thanks for giving such good content. I don't think anyone is teaching in the same way from base
Brilliant brilliant brilliant 👏👏👏👏
This channel is awesome no one can bit of this man
We are blessed to have ...teacher like, Nitish sir!!
Best Explained i learned alot ,You are the best Teacher ❤
God bless you
I don't know how are u, but thanks brother I loved your videos.... you make not only day every day to me
awesome. No doubt best way of teaching. Complete road map got covered.
bro, that was superb.
I loved the way you teach,... that granularity, hats off.
Thankyou so much sir..i gained a lot...like massively a lot!!❤️❤️❤️... teacher's like you🙏🏻❤️❤️ gives us the motivation to study and explore more and more concepts ❤️
hatsoff sir! You are god at making concepts clear
thanks sir so much
you don't know
how much you are important your lectures for me
Thank a lot for your efforts, one of the best video I was looking for from long time.
You are a legend buddy. Brilliant & thanks a billion.🙏🙏🙏🙏🙏
We need more teachers like you
Nitish Sir, No one is better than you in teaching ML topics.
Making ML much much easier for every student out there....really you are an awesome teacher explained every procedure and techniques so clearly.... thankyou so much sir❤❤ best videos
Dada,Have you completed the whole playlist?
@@mahasinprodhan4322 Not till now , but doing .
Best Channel to learn data science.... :)
So beautiful explain all the things sir... salute to 🎯🤗👍
Really thank you so much sir, itne easy tarike se smzhane ke liye.
you know, mere ek friend ne kaha tumahre pas "Ineuron" ka subscription hai phir bhi tum campusx ke videos q dekhte ho?
you know what i said
"great content with easiness" .
that why mai campus_x ke videos dekhta hu.
very Nice respected sir .kash aesay teachers hamari univaresties main bhi hotay.love from pakistan
really appreciate your work..Just started learning with you.
Very informative, I will work on my next proeject with pipeline.
thank you sir, you are the best teacture for fresher to learn data science. Please uploading as many as more videos regarding ML and DL.
You are an awesome teacher!
Correction :- trf1 se jo output aayega ... Vha columns k index change ho jayenge and in trf2 ... According to output from trf1 ... Sex col index = 3 and imputed_embarked col index = 1 ... So in trf2 use [1,3] instead of [1,6]
Thankyou bro....Can you please explain how and why the index of the columns are getting changed?
Yeah I am confused about that too
thank you for giving such kind of knowledge, your awesome sir❤
Hi Nitish, these videos on column transformers and pipelines are really amazing. Can you please also let me know how can I incorporate IQR based outlier detection using column transformer and pipeline? I tried doing it but was not able to get the desired results
awesome ! thanks for going in to so much detail so that you can make it easy for us
You are doing great work, just a suggestion change website address in description to recent one. Thanks for the video.
So Fantastic so amazing just like wooooow!!!!!!!!!!!
Wow man... I am running short of words.
thank you sir
God level teaching!
Amazing way of teaching!!
You are really a gem sir
Excellent Explanations 👍👍👍
very nice explanation sir
pretty straight and neat explanation
Ekdum sahi bhai.. shiddat se video banaya aapne 😁😁😁
Excellent video and well presented!!
Brilliant 🔥
Thanks for making this video its really help me....
Its almost took Two days for me to study , understand the concept, code & implementation .. Weird but interesting ..
Hi Nitish sir!
Hope you are doing well Nitish sir. First of all, Thank you so much for all the knowledge that you are sharing with us free on UA-cam. Sir, I am a college student and tomorrow is my AI & ML engineer interview at a big tech company. I want to revise all the stuff that I learned for your UA-cam channel playlist 100 Days of Machine Learning. Can you please share with me your Microsoft One Note file which you used in your playlist? So I can revise all the concepts of ML in a few days for my first AI & ML interview. Again Thank you so much for all of your efforts which you give us on UA-cam without any fee.
Kind Regards
Aqil Saboor
whats the update of your interview ?
Bro believe me , your climaxes are way more interesting than those of hollywood and bollywood movies.
Great explaination sir !!!
I have never seen this type of knowledge before. Thanks for sharing 🥰
amazing video sirji!!
Thank you sir for this amazing lecture
mzaaa aa gya sir 17000 dekr mujhe itna acche se nhi padhya gya tha
Sir,u explain wonderfully
Well explained sir...thank you
great video
Really great demonstration
i had literally hand-encoded all the features in flask app cause im a beginner hahaha. i feel so great learning this now. thanks a lot sir
Very Useful
Thank You😀
Thank you sir, you are really amazing.
Thank you, sir. It's really helpful.
Hi, did you understand why using pipeline predict 0 and without using pipeline predict 1. It should be same right ? What do you think
You are Amazing Sir
This is amazing , nitish sir !!
Thank You very much.😍
sir your THE BEST TEACHER
very amazing teaching way
you sr are the best!
Your videos are excellent . Very easy to understand. Do you have a video on deployment of model to AWS EC2 ?
ua-cam.com/video/_rwNTY5Mn40/v-deo.html
Amazing as always. 💪
Amazing video as well as a series. But just wanted to know as u said developer needs to write the code in production and change the code of the file **predict_without_pipeline file. But once we export our model we can handle this in our API's routes
it is that hectic ?? validations laga diye to ho jaega just 1 hi bar to likhna hai code.
But yes pipe mechanism is very clean and understandable
Watched till the end !! 😃😃
Amazing content.
There is an slight issue in the Implementation logic . Since in above pipeline output of trf1 (imputation column transformer ) will be input to trf2(one hot encoding column transformer) . Since we have imputed the age[2] and embarked[6] column first and then PASSEDTHROUGH the remaining columns . Then the output of this trf1 columns will be in the order of (columns that we have imputed and then remaining columns) i.e :(age,embarked,pclass,sex,.......and other remaining columns) .Here the index of the columns has changed from the original dataframe (df1) . In the next step result from trf1 will be passed to trf2 . And we wanted to mention column sex and embarked (index 1 and 6 respectively in the original data frame but now the index of both have been changed) , which is a mistake . So if we want to specify the correct index of column sex and embarked in trf2 it will be 1 and 3 respectively .