Linear Regression Algorithm | Linear Regression in Python | Machine Learning Algorithm | Edureka

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  • Опубликовано: 5 сен 2024
  • 🔥 Machine Learning Training with Python (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): www.edureka.co...
    This Linear Regression Algorithm video is designed in a way that you learn about the algorithm in depth. This video is designed in a way that in the first part you will learn about the algorithm from scratch with its mathematical implementation, then you will drill down to the coding part and implement linear regression using python. Below are the topics covered in this tutorial:
    1. What is Regression?
    2. Regression Use-case
    3. Types of Regression - Linear vs Logistic Regression
    4. What is Linear Regression?
    5. Finding best-fit regression line using Least Square Method
    6. Checking goodness of fit using R squared Method
    7. Implementation of Linear Regression Algorithm using Python (from scratch)
    8. Implementation of Linear Regression Algorithm using Python (scikit lib)
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Комментарии • 338

  • @edurekaIN
    @edurekaIN  6 лет назад +37

    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Machine Learning Course curriculum, Visit our Website: bit.ly/2OpzQWw

    • @santanu1313
      @santanu1313 6 лет назад +16

      Where is the dataset?

    • @smeetkothari5160
      @smeetkothari5160 4 года назад +2

      For Stock Price predictor can day be Independent variable and Price be Dependent variable. Is Linear regression fit for Stock Market Price predictors??

    • @edurekaIN
      @edurekaIN  4 года назад +1

      The main difference between them is that the output variable in regression is numerical (or continuous) while that for classification is categorical (or discrete). However, they both are categorized under the same umbrella of supervised machine learning.

    • @edurekaIN
      @edurekaIN  4 года назад +1

      If the goal is prediction or forecasting or error reduction, linear regression can be used to fit a predictive model to an observed data set of y and x values.

  • @jeremmoses8562
    @jeremmoses8562 3 года назад +75

    The explanation was top-notch, Kudos to the instructor and specially Edureka for making this, Thank You.

    • @edurekaIN
      @edurekaIN  3 года назад +5

      We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @nickthomson450
    @nickthomson450 5 лет назад +70

    24:20 - Programming part

  • @trebelojaques458
    @trebelojaques458 3 года назад +68

    You guys have a video on literallyy every topic, don't ya🔥❤️😂

  • @harshdewangan1951
    @harshdewangan1951 3 года назад +17

    You are a world-class instructor, your speaking skills are really good. Even I had completed the video in 2x speed, I did not find any place where I have to replay the part. The linear regression algorithm is explained in the easiest possible way. Thanks for the effort!!!!

  • @beast_creationz5446
    @beast_creationz5446 Год назад +2

    the perfect explanation of linear regersssion model

    • @edurekaIN
      @edurekaIN  Год назад

      Thank You 😊 Glad it was helpful!!! Keep learning with us..

  • @sahildingla6684
    @sahildingla6684 2 года назад +1

    best video i have ever seen on linear regression

    • @edurekaIN
      @edurekaIN  2 года назад

      Hey:) Thank you so much for your sweet words :) Really means a lot ! Glad to know that our content/courses is making you learn better :) Our team is striving hard to give the best content. Keep learning with us -Team Edureka :) Don't forget to like the video and share it with maximum people:) Do subscribe the channel:)

  • @rishavpaudel7591
    @rishavpaudel7591 4 года назад +13

    thank you so much for making my life easy............ i am M.Tech(AI) student struggling with linear regression from yesterday

  • @BwithGadgets
    @BwithGadgets 5 лет назад +20

    The only video that helped me in calculating the best fit line in so much detail and plain english. Thanks for the same.

  • @karthikeyans1646
    @karthikeyans1646 5 лет назад +45

    really a great work.kindly explain the code slowly

  • @srirekha3612
    @srirekha3612 5 лет назад +11

    A great video with all explanations about the model 👍 Could you please explain why one was subtracted while calculating r squared value

  • @mus-abumama
    @mus-abumama 3 года назад +1

    watched lots of videos to learn this. understood nothing. but, u guys just killed it.

    • @edurekaIN
      @edurekaIN  3 года назад

      We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @ShubhamKumar-fy1fl
    @ShubhamKumar-fy1fl 4 года назад +2

    Now my concept of Liner Regression become clear. Thank you so much for providing free education.

    • @edurekaIN
      @edurekaIN  4 года назад +2

      Hey Shubham, thanks for the compliment! We are glad we could help. Do subscribe to our channel to stay posted on upcoming tutorials.

  • @sachinweerasinghe1464
    @sachinweerasinghe1464 4 года назад +3

    Excellent lecture.I've followed many lectures, in linear regression analysis, but those were useless,but, your lecture was good,

    • @edurekaIN
      @edurekaIN  4 года назад

      Hey Sachin, thanks for the compliment! We are glad we could help. Do subscribe to our channel to stay posted on upcoming tutorials.

  • @muhammadiqbalbazmi9275
    @muhammadiqbalbazmi9275 5 лет назад +20

    Awesome, It's a great explanation.
    I got it, thanks a lot.
    Quality Unmatched, A Vigorous teacher.

    • @edurekaIN
      @edurekaIN  5 лет назад +4

      Thanks for the compliment! We are glad you loved the video. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!

  • @callmeravi81
    @callmeravi81 5 лет назад +6

    Awesome explanation . Thank you edureka. Explanation is Very understandable manner to even poor mathematical background people. I need clarification. When R(square) is very less how to increase R(square) to make best fit of line. Is there any formula or mathematical procedure. Kindly clarify me.

    • @edurekaIN
      @edurekaIN  5 лет назад +2

      Hi Ravi, thanks for the compliment. Try removing any insignificant variables. Usually when there are more predictor variables in the data set, the R square value tends to decrease.

  • @hercules3150
    @hercules3150 2 года назад

    This explanation was so clear, even a man who dont know about machine learning , the person can easily understand the concept.

    • @edurekaIN
      @edurekaIN  2 года назад

      We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @kamalakannankk
    @kamalakannankk 4 года назад +10

    The best Linear Regression tutorial i have ever seen!! Thank you edureka!!!

    • @edurekaIN
      @edurekaIN  4 года назад

      Thank you for appreciating our efforts. Do subscribe to our channel and stay connected with us. Cheers :)

  • @anusharaghavendra1421
    @anusharaghavendra1421 2 года назад

    the best explaination i have ever seen on linear regression. simple and the best way to understand. thank u so much

    • @edurekaIN
      @edurekaIN  2 года назад

      Good To know our videos are helping you learn better :) Stay connected with us and keep learning ! Do subscribe the channel for more updates : )

  • @haribabusompalli4203
    @haribabusompalli4203 6 лет назад +10

    Excellent Session. Could you please share the data set used in this practice.

  • @chandunarla4650
    @chandunarla4650 4 года назад +4

    Thank you so much
    I have been seeing various videos to understand this topic but you killed it. I loved the explanation 😍

    • @edurekaIN
      @edurekaIN  4 года назад

      Hey, thanks for the compliment! We are glad you loved the video. Do subscribe to our channel to stay connected with us. Cheers!

  • @MrData_
    @MrData_ 10 месяцев назад

    The best explanation i have seen on this topic. Thank you.

  • @irtazamalik9282
    @irtazamalik9282 Год назад +1

    Simply Wounderful

    • @edurekaIN
      @edurekaIN  Год назад

      Thank You 😊 Glad it was helpful!

  • @kiranedupuganti2732
    @kiranedupuganti2732 5 лет назад +10

    Very Good , looking for Mathematical understanding for prediction and code implementation. Very Much satisfied to understand prediction derivation. Thanks much.

  • @jack_sparrow1049
    @jack_sparrow1049 Год назад +1

    Need help
    what if the coordinates are not continuous on the x axis
    for example
    x-axis = 0 1 2 3 4 5
    y-axis = 0 1 2 3 4 5
    coordinates = (2,3) (4,3)
    there is a gap between the x coordinates
    so is it possible to get the regression line ?

  • @adnandodmani7340
    @adnandodmani7340 3 года назад +1

    Best explaination I have ever seen for linear regression the visual explaination, mathematical theory awesome video please keep posting.

  • @tsimam1909
    @tsimam1909 Год назад

    Superb explanation ☺️ thanks to instructor who explained in very easy way

    • @edurekaIN
      @edurekaIN  Год назад

      You're welcome 😊 Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @kinacute2010
    @kinacute2010 5 лет назад +1

    This was the best one amongst all the videos I went through.. nice.. I need data set too...

    • @edurekaIN
      @edurekaIN  5 лет назад

      Thanks for the compliment!
      Can you please share your email id with us (it will not be published). We will forward you the source code to your email address.

  • @vivekchavda8039
    @vivekchavda8039 3 года назад +1

    Helped me in understanding my regular AI lectures

  • @mohdravi8541
    @mohdravi8541 Год назад +1

    One of the best videos on you tube

    • @edurekaIN
      @edurekaIN  Год назад +1

      Thank you 😊 Glad it was helpful!

  • @waferberry1870
    @waferberry1870 2 года назад +1

    Thank you very much Sir! This is very helping me. May God bless the team!

    • @edurekaIN
      @edurekaIN  2 года назад

      Thank you for your review : ) We are glad that you found our videos /contents useful . We are also trying our best to further fulfill your requirements and enhance your expirence :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @mysfactsAA
    @mysfactsAA 4 года назад +1

    Very clear, neat and fantastic explanation to the linear regression.. Very well done!!... Thank you...

    • @edurekaIN
      @edurekaIN  4 года назад

      Hey Abirami, thank you for the compliment. Do subscribe, like and share to stay connected with us. Cheers :)

  • @manavtakoliya6492
    @manavtakoliya6492 2 года назад +2

    What a simple explanation. Kudos, man.🥰🥰🥰

  • @ahmedshalaby9343
    @ahmedshalaby9343 2 года назад

    WOW Greetings from Egypt ,wished ur my professor in the college

    • @edurekaIN
      @edurekaIN  2 года назад +1

      We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @SA-lt8pc
    @SA-lt8pc 2 года назад

    best ever explaination i have watched and you saved much of my time thank you so much

    • @edurekaIN
      @edurekaIN  2 года назад

      Hey:) Thank you so much for your sweet words :) Really means a lot ! Glad to know that our content/courses is making you learn better :) Our team is striving hard to give the best content. Keep learning with us -Team Edureka :) Don't forget to like the video and share it with maximum people:) Do subscribe the channel:)

  • @sriramg1386
    @sriramg1386 2 года назад +3

    Can you please explain how the formulae for slope m and R square were derived and their interpretation?

  • @gkhan3106
    @gkhan3106 2 года назад

    Best explanation on Linear Regression. Only python part is little quick.

  • @0x00whitejsx
    @0x00whitejsx Год назад

    please Edurake next video insert the timeline content key note, so that in the video one can navigate to specific key note.. thank you

  • @questforprogramming
    @questforprogramming 5 лет назад +10

    That last twist of scikit learn saved me from that for loop... thank you so much for this presentation...

  • @tayyabaayaz6181
    @tayyabaayaz6181 2 года назад +3

    can we find glucose value in mg/dl by using sensor value and the standard value of glucose using linear regression??

  • @NxtGenTech
    @NxtGenTech 3 года назад

    Awesome and Qnique way to teach using Mathematical Analytics and Graphs.....Thanks

  • @ganeshraj1606
    @ganeshraj1606 5 лет назад +1

    Awesome Video!... Very nicely explained and easy to understand.

    • @edurekaIN
      @edurekaIN  5 лет назад

      Thanks for the compliment, Ganesh. Do subscribe, like and share to stay connected with us. Cheers :)

  • @Amritharaja
    @Amritharaja 6 лет назад +6

    The presentation is great. May I know how you created these presentations (is it power point presentation or something else?)

    • @edurekaIN
      @edurekaIN  6 лет назад +1

      Hey Amritha, we use power point to create all our presentations. We are glad that you liked it. Cheers :)

  • @mumtazansari4271
    @mumtazansari4271 2 года назад +1

    thanks for helping nice video

    • @edurekaIN
      @edurekaIN  2 года назад

      😊 Glad it was helpful!

  • @flyeagle320
    @flyeagle320 2 года назад +1

    Loved the tutorial and always follow edureka for simple understanding

    • @edurekaIN
      @edurekaIN  2 года назад

      Glad it was helpful!

  • @baazigar1.0
    @baazigar1.0 2 года назад +1

    Can you guys do videos related to quantum computing

    • @edurekaIN
      @edurekaIN  2 года назад

      Thanks for showing interest in Edureka kindly visit the channel for more videos our content creators are eagerly waiting for your suggestion to make new videos on your interest :) DO subscribe for the video update

  • @younusansari410
    @younusansari410 5 лет назад +2

    Awesome video...made a complex understanding to a very simple understanding..trust me I was struggling to understand the Liner Regression for more then 1 month and my struggle ends just in 38 min of this video.. the explanation was superb Thank you is a little word.. God Bless you..

  • @vvkwadhwa
    @vvkwadhwa 4 года назад +1

    Very Nice explaination. Thanks a lot.

  • @knvssandeepbolisetti5008
    @knvssandeepbolisetti5008 4 года назад +1

    The Best Explanation Ever Seen
    You can see The Quality of Teaching
    Thank You Edureka!!!!!!!

  • @keerthanavs3606
    @keerthanavs3606 2 года назад

    Thank you so much!!! Damn clear about Linear regression

    • @edurekaIN
      @edurekaIN  2 года назад

      Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @sidddiquifarheen4498
    @sidddiquifarheen4498 6 лет назад +1

    Great session. Will be greatfull if data set could b shared

    • @edurekaIN
      @edurekaIN  6 лет назад

      Hey Farheen, glad you loved the video. Please do mention your email id and we will send the files to you. Cheers!

  • @photographymaniac2529
    @photographymaniac2529 4 года назад +1

    Very impressive sir 🙏🙏

  • @amrendrakumar-py7on
    @amrendrakumar-py7on 5 лет назад +3

    I got it. thanks. great jobs edureka.

  • @sudinroy7979
    @sudinroy7979 3 года назад

    Very nice and detailed explanation about regression analysis.Thank you so much for edureka for providing this importnat vedio.

    • @edurekaIN
      @edurekaIN  3 года назад

      Hey:) Thank you so much for your sweet words :) Really means a lot ! Glad to know that our content/courses is making you learn better :) Our team is striving hard to give the best content. Keep learning with us -Team Edureka :) Don't forget to like the video and share it with maximum people:) Do subscribe the channel:)

  • @bhawnagupta7625
    @bhawnagupta7625 3 года назад

    Simple and elegant, excellent video for beginner... thank you so much

  • @dhaneshpt8641
    @dhaneshpt8641 9 месяцев назад

    Very useful . Thank you so much

    • @edurekaIN
      @edurekaIN  9 месяцев назад

      Glad it was helpful! 😊

  • @KarthikDhanabalkarthik
    @KarthikDhanabalkarthik 5 лет назад +3

    Very well explained. Awesome tutorial Bro.

  • @aslamcoding
    @aslamcoding 4 года назад +2

    I love your tutorial.
    Excellent sir!
    In first attempt I learnt Linear Regression.
    Thank you very much.

  • @sathyaseelanc329
    @sathyaseelanc329 4 года назад

    It was very nice and easily understandable...thank u

  • @Arya2704-n4i
    @Arya2704-n4i 2 года назад +1

    Thanks a lot

  • @Abhishek-jy4ul
    @Abhishek-jy4ul 5 лет назад +2

    maaan thanks alllot your voice and you content was awesome much power to you

    • @edurekaIN
      @edurekaIN  5 лет назад +1

      Thanks for the compliment, Abhishek! We are glad you loved the video. Do subscribe, like and share to stay connected with us. Cheers!

  • @aminamuhammad25
    @aminamuhammad25 Год назад

    Wow, this video was beautifully executed. Everything was so well explained.

  • @tanushreenagar3116
    @tanushreenagar3116 3 года назад +1

    Too nice thnk u

  • @HarshitSharma-yr3yv
    @HarshitSharma-yr3yv 2 года назад +2

    can someone explain X=X.reshape((m,1)) # cannot use rank 1 matrix in sk learn

  • @hammadkhan7927
    @hammadkhan7927 Год назад +1

    Can you provide the data set that you use so that we can practice.

    • @edurekaIN
      @edurekaIN  Год назад

      Thanks for showing interest in Edureka! Kindly share your mail id for us to share the datasheet/ source code :) Do subscribe for more videos & updates

  • @ashishverma1382
    @ashishverma1382 3 года назад

    finally this video help me
    continue.....

  • @rrithwikreddy2019
    @rrithwikreddy2019 2 года назад +1

    Awesome explanation

  • @impgames5753
    @impgames5753 5 лет назад +1

    Awesome explanation. Thax for the sharing video. Can you please share the dataset files so that we all can practice. Thanks in Advance.

    • @edurekaIN
      @edurekaIN  5 лет назад

      Hi Ishwar, thanks for appreciating our work! Please share your email id with us (it will not be published). We will forward you the dataset to your email address.

  • @bipsy_
    @bipsy_ 2 года назад

    Fabulous explanation! clear precise and straight to the point.

    • @edurekaIN
      @edurekaIN  2 года назад +1

      Hey:) Thank you so much for your sweet words :) Really means a lot ! Glad to know that our content/courses is making you learn better :) Our team is striving hard to give the best content. Keep learning with us -Team Edureka :) Don't forget to like the video and share it with maximum people:) Do subscribe the channel:)

  • @rohitchitte5614
    @rohitchitte5614 4 года назад

    Finnest videos on machine learning

  • @devikapatil5422
    @devikapatil5422 2 года назад +1

    Great job by edureka. Thank you.

  • @manishaagale6868
    @manishaagale6868 5 лет назад +3

    Thank You I'm very well understand it

    • @edurekaIN
      @edurekaIN  5 лет назад +1

      Hey Manisha, we are glad you loved the video. Do subscribe and hit the bell icon to never miss an update from us in the future. Cheers!

  • @rubyatkoly776
    @rubyatkoly776 5 лет назад +7

    29 mints just clear my one week confusions

  • @Timhsa_25
    @Timhsa_25 5 лет назад +1

    Sir your voice is so clear thanks to explain

  • @charishma.uf1975
    @charishma.uf1975 2 года назад +2

    Hello team,
    Should we need to convert all continuous independent variables to categorical variables for logistic regression?

  • @inderpriitwaliaa3270
    @inderpriitwaliaa3270 3 года назад +1

    Nice , well explained.

  • @anumolukumar585
    @anumolukumar585 5 лет назад +2

    Excellent explanation and so far the best video i have seen.
    it will be very helpful if you share the ppts too

  • @schatterjee3157
    @schatterjee3157 4 года назад +1

    Great stuff!!Please send in the dataset

  • @vikasrajput8186
    @vikasrajput8186 5 лет назад +6

    My Question is there, I have seen lots of videos on youtube but i didn't get way how to use machince learning in real life..

    • @edurekaIN
      @edurekaIN  5 лет назад +2

      Hi Vikas, You can check out our Machine Learning playlist.
      We have explained Machine Learning with the help of real world example and projects.
      ruclips.net/video/Pj0neYUp9Tc/видео.html

  • @kau_bhat
    @kau_bhat Год назад +1

    How can I form the equation if I have 4 variables affecting prediction?

  • @trueknowledge2065
    @trueknowledge2065 4 года назад +1

    Thanks from south Korea

  • @ujjwal_here8048
    @ujjwal_here8048 3 года назад +1

    Great video thank you for sharing.

    • @edurekaIN
      @edurekaIN  3 года назад

      Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @anishchar4282
    @anishchar4282 Год назад +2

    Very nice explanation 👌

    • @edurekaIN
      @edurekaIN  Год назад +1

      Thank you so much 🙂 Keep learning with us..

  • @nididhyasana5879
    @nididhyasana5879 3 года назад +1

    Beautifully explained, Abridged the gap between Theoretical and practical knowledge. This is what we want!!!!

  • @nooraskari5760
    @nooraskari5760 3 года назад

    Well explained, but Coding is something new for me.Need to come from basics.

  • @Viralvlogvideos
    @Viralvlogvideos 4 года назад

    awesome tutorials u guys must come and teach in our college

  • @aa-lk1gz
    @aa-lk1gz Год назад +1

    Thank you ❤️

  • @karalworld
    @karalworld 3 года назад

    Awesome. Very good explanation. Thank you.

  • @akshayrupnar5971
    @akshayrupnar5971 5 лет назад +4

    Literally such helpful video sir ....keep uploading such type of videos thanx ....👍👌

    • @edurekaIN
      @edurekaIN  5 лет назад

      Thanks for the compliment, Akshay! We are glad you loved the video. Do subscribe to the channel
      and hit the bell icon to never miss an update from us in the future. Have a good day!

  • @manuelcervantes1939
    @manuelcervantes1939 2 года назад

    Thank you for the tutorial my friend, greetings from Bolivia

    • @edurekaIN
      @edurekaIN  2 года назад +1

      Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )

  • @shubhamghodake5261
    @shubhamghodake5261 4 года назад

    Very nice explanation

  • @ihateorangecat
    @ihateorangecat 2 года назад +1

    thank you sir🙏🙏❤

  • @subrahmanyabhat2385
    @subrahmanyabhat2385 2 года назад

    Thank you for this video 👌

    • @edurekaIN
      @edurekaIN  2 года назад

      Thank you so much for your review on our channel  Great to hear that Edureka is helping you learn better . We’ll strive to make even better learning contents/courses in the future ! Do subscribe the channel for more updates : )

  • @siddharth4251
    @siddharth4251 Год назад

    most wonderful explanation on linear regression on youtube.....thank you very much

  • @ujjwalrajshah8595
    @ujjwalrajshah8595 5 лет назад +2

    An awesome session can you please share dataset and code?

    • @edurekaIN
      @edurekaIN  5 лет назад

      Hey Ujjwal, glad you loved the video. Please mention your email ID and we will send the files to you. Cheers!

  • @RaviTeja-zy5yn
    @RaviTeja-zy5yn 4 года назад

    Awesome 😊.... basically a spoon feeding explanation...loved it.

  • @soumenchatterjee8946
    @soumenchatterjee8946 2 года назад

    I was revising the topics and getting prepared for the Job interview, and going through this set of videos. I really like the way the topic is explained thoroughly with examples and animation. It covered most of the parts related to this topic. I really like the presentation, would suggest whoever planning to understand the topics related to this.

    • @edurekaIN
      @edurekaIN  2 года назад

      We are very glad to hear that your a learning well with our contents :) continue to learn with us and don't forget to subscribe our channel so that you don't miss any updates !

  • @nikhils6294
    @nikhils6294 3 года назад +1

    thank you, this video helped me lot in this pandemic, with online classes and offline exams. thank you so much

  • @AaliyahKaltsum
    @AaliyahKaltsum 5 лет назад +12

    great video! but please improve the sound quality :) thank you very much

    • @edurekaIN
      @edurekaIN  5 лет назад +1

      Hey Aaliyah, we are glad you loved the video and thanks for the compliment. Do subscribe to the channel and hit the like button to never miss a video from edureka in the future. Cheers!

  • @abhishekmanglam2305
    @abhishekmanglam2305 4 года назад

    really good explanation of coding part .