Machine Learning Pipelines A-Z | Day 29 | 100 Days of Machine Learning

[@geekyprogrammer4831]

I think this channel is better than Krish Naik's channel!

[@siddhartharaja9413]

both are amazing,please don't make any comparisons,

[@GhostRider....]

yes bro,even i think this is more in depth and very clear

[@smile93]

Indeed.....I have purchased tech neuron and definitely verify that

[@ankurkumar1466]

I also purchased tech neuron but it’s of no use…he’s better then kris naik…

[@whitepanda95]

Yes, Nitish isn't in hurry unlike krish😅

[@ayeshasyedKhan]

I can’t believe this is free! Your teaching is on a whole new level, far superior to what most paid courses offer. Thank you for sharing such valuable knowledge with us

[@harshkondkar3193]

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!!

[@readbhagwatgeeta3810]

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😄🤗

[@tathagatasharma]

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.

[@nishantchaudhary7528]

@@tathagatasharma totally agree.. 👍

[@shantinamuna-r8x]

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 " ,

[@anjudangi5409]

I am grateful for your mentorship and the knowledge you've shared with me. Thank you so much.

[@ParthivShah]

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.

[@amarchanotiya5558]

Very well structured videos you've made Sir. God Bless Teachers like you who are helping students learn better.

[@AnalyticalAnuj]

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.

[@123arskas]

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.

[@bansarigaloria6149]

Humko video dekhna padega end tak..unfortunately...this you said Sir...but we are fortunate ki humko aapka yeh high quality content dekhne ko mil raha hai...you are the best teacher in this data domain🙏

[@ankitmishra5566]

Man , your style of delivering the content is awesome !

[@tusharshukla9361]

what a beautiful way to explain such a complicated topic...hats off to your efforts Sir. Love allots💗💗💗

[@srihariswain2128]

Exactly

[@IRFANSAMS]

I was lost like hell and here comes another great video with up to the core explanation.

[@codedByAyush]

Bhaiya, you're just a gem. Apka comparison kisi aur ke sath hoe nahi payega

[@PoetrybyEraj6]

Excellent code understanding and best teaching ever on KZbin✨🔥

[@barshabanik7212]

you are making my journey a bit easier evryday .Thank you so much sir

[@mahasinprodhan4322]

Dada,Have you completed the whole playlist?

[@ronylpatil]

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]

can you please explain why he used fit transform at train_age while transform only at test at 8:22

[@darshann812]

@@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.

[@srikrithibhat1999]

Well explained. Nowhere I found such a great detailed explanation like this. Thank You so much.

[@poojadesai2826]

I really like your explanation, Please keep uploading more videos.

[@MohitSingh-jb9tb]

Teaching style is so good. I have learnt so much by you. Hats off to ur effort sir.

[@nazneenkhan8058]

thank youuuuuuu! doing a bootcamp abroad (paid 8Lakh) .. understood nothing! this video is giving me more clarity than the bootcamp ever could!!

[@23MMA002_IQRAKHAN]

sir I have never enjoyed learning ML before...You're actually the best!!

[@Trueleaderaman]

THIS COURESE IS AMAZING.

[@geekydev0]

It feels illegal to consume this content for free.... glad to come across this channel, can't stop myself binge watching this series

[@aradhanarana9592]

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.🙌

[@hemanthharshith3154]

I am Grateful to find your channel ❤❤

[@sam-mv6vj]

This video is literally gold brother for fresher Data scientists

[@_pareekshithmcMcpareekshith]

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 .

[@zebarezai1906]

Best Explained i learned alot ,You are the best Teacher ❤ God bless you

[@anuragshrivastava7855]

one of the best data science channel

[@adityaahuja4681]

thanks for giving such good content. I don't think anyone is teaching in the same way from base

[@rishibakshi2004]

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 ❤️

[@sabbiruddinakash7181]

I love the way you teach my brother. Love you from Bangladesh. Thank you so much for the playlist

[@PriyankBansal-d5h]

This channel is awesome no one can bit of this man

[@sagarkanake3357]

Sir, these videos are really helping me to understand ML concepts. Thank you so much, sir.

[@Vidi_111]

Ur incredible.... the way you teach..... simply amazing.... thank you for your efforts... giving you in free cost...

[@anuj_.ahlawat]

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]

[@AmbujRai-ft5cx]

Thankyou bro....Can you please explain how and why the index of the columns are getting changed?

[@badrinath218]

Yeah I am confused about that too

[@sunriseentertainment1572]

Bro Thank you Very Much

[@tanmaygupta8288]

hatsoff sir! You are god at making concepts clear

[@ashishmishra7506]

Thank a lot for your efforts, one of the best video I was looking for from long time.

[@gauravgupta4983]

Brilliant brilliant brilliant 👏👏👏👏

[@prabalkuinkel4893]

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 .

[@divyanshisharma4409]

Excellent Sirji,Hats off to you.

[@pratikshauttarde3477]

So beautiful explain all the things sir... salute to 🎯🤗👍

[@LuckyRooopa8]

I don't know how are u, but thanks brother I loved your videos.... you make not only day every day to me

[@DataScienceWithAhmad]

thanks sir so much you don't know how much you are important your lectures for me

[@shivangitripathi2454]

Thanks a lot for this playlist. You have literally explained it so well and especially from the real project perspective. Thanks.

[@IRFANSAMS]

We are blessed to have ...teacher like, Nitish sir!!

[@nishantchaudhary7528]

bro, that was superb. I loved the way you teach,... that granularity, hats off.

[@tusharbedse9523]

Ekdum sahi bhai.. shiddat se video banaya aapne 😁😁😁

[@YashPrajapati-t9x]

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

[@mahasinprodhan4322]

Dada,Have you completed the whole playlist?

[@YashPrajapati-t9x]

@@mahasinprodhan4322 Not till now , but doing .

[@deepakshimpi4604]

Best videoes of the KZbin..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....🙏

[@Aman-tr5il]

You are a legend buddy. Brilliant & thanks a billion.🙏🙏🙏🙏🙏

[@abinashnath2481]

awesome. No doubt best way of teaching. Complete road map got covered.

[@vaibhavchaudhary5571]

Nitish Sir, No one is better than you in teaching ML topics.

[@ankitbhatia5998]

Best Channel to learn data science.... :)

[@chandrashekarchandu3454]

thank you for giving such kind of knowledge, your awesome sir❤

[@KumR]

Wow man... I am running short of words.

[@ML_Mentor]

You are an awesome teacher!

[@yasirbhatti7607]

very Nice respected sir .kash aesay teachers hamari univaresties main bhi hotay.love from pakistan

[@mayanksharma609]

Very informative, I will work on my next proeject with pipeline.

[@snehaltheprogrammer]

We need more teachers like you

[@ganpatinatrajan5890]

Excellent Explanations 👍👍👍

[@tradingstation9080]

I have never seen this type of knowledge before. Thanks for sharing 🥰

[@AIWALABRO]

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.

[@shubhamtelang9127]

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.

[@swapnilpalsapure9781]

You are really a gem sir

[@amarAK47khan]

awesome ! thanks for going in to so much detail so that you can make it easy for us

[@captiandaasAI]

So Fantastic so amazing just like wooooow!!!!!!!!!!!

[@shashanksingh3562]

really appreciate your work..Just started learning with you.

[@anubhavgautam6586]

Thank you sir for this amazing lecture

[@tsukuruuu]

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

[@balrajprajesh6473]

God level teaching!

[@TusharBansal-w2n]

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

[@sb7Acc3-yx7py]

pretty straight and neat explanation

[@ajitkulkarni1702]

Great explaination sir !!!

[@md.anamulislam2702]

Excellent video and well presented!!

[@dauntless4498]

Bro believe me , your climaxes are way more interesting than those of hollywood and bollywood movies.

[@SidIndian082]

Its almost took Two days for me to study , understand the concept, code & implementation .. Weird but interesting ..

[@narendraparmar1631]

Very Useful Thank You😀

[@BiswajitDas-lk7pp]

You are Amazing Sir

[@ritugujela8345]

Watched till the end !! 😃😃

[@aadisharma3514]

Thanks for making this video its really help me....

[@vipin2872]

Well explained sir...thank you

[@feeling_learning]

mzaaa aa gya sir 17000 dekr mujhe itna acche se nhi padhya gya tha

[@jayanthAILab]

Amazing way of teaching!!

[@swasticsingh3366]

You are doing great work, just a suggestion change website address in description to recent one. Thanks for the video.

[@manishpingale6558]

amazing video sirji!!

[@ManojKumar-kk6km]

sir your THE BEST TEACHER

[@NikhilS-1]

Thank you sir, you are really amazing.

[@subratamondal2170]

Thank You very much.😍

[@padamthapa1889]

Sir,u explain wonderfully

[@saurabhbarasiya4721]

very nice explanation sir

[@jiteshsingh6030]

Brilliant 🔥

[@abhishekkukreja6735]

This is amazing , nitish sir !!

[@tahseenabbas52]

Thank you so much Sir For such a quality content 😍

[@arpitchampuriya9535]

20:48 with pipeline

[@SumanPokhrel0]

Amazing as always. 💪

[@pravinshende.DataScientist]

nicely explained ... very much thank you sir ... and bc of this best vedio I am going to subscribe your channel

[@RAHUDAS]

Really great demonstration

[@hamzayaseen9963]

ValueError: all the input arrays must have same number of dimensions, but the array at index 0 has 2 dimension(s) and the array at index 2 has 0 dimension(s). What should I do at 11:50? Can anyone help me? I can't figure it out. Thanks