Installing Anaconda For Data Science | Jupyter Notebook for Machine Learning | Google Colab for ML

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  • čas přidán 2. 07. 2024
  • Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. It is developed and maintained by Anaconda.
    The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
    A virtual environment is a tool that helps to keep dependencies required by different projects separate by creating isolated Python virtual environments for them. This is one of the most important tools that most Python developers use.
    Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
    Collaboratory, or “Collab” for short, is a product from Google Research. Collab allows anybody to write and execute arbitrary python code through the browser and is especially well suited to machine learning, data analysis, and education.
    Code used:
    github.com/campusx-official/r...
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    ✨ Hashtags✨
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    ⌚Time Stamps⌚
    00:00 - Intro
    01:30 - Installing Anaconda
    03:00 - Spyder
    03:50 - Jupyter Notebook
    11:34 - Virtual Environment
    23:40 - Using Kaggle
    29:20 - Google Collab
    36:28 - Outro

Komentáře • 89

  • @ritugujela8345
    @ritugujela8345 Před 2 lety +40

    Sir, I'm glad I came across to your CZcams channel. It's literally a blessing to all Data Science aspirants. Following your ML playlist + explanation is brilliant. Tons of Thanks to you !!!! You deserve a lot more subscribers :)

  • @aayushrawat688
    @aayushrawat688 Před rokem +23

    i was scratching my head whether i should use colab or anaconda and this guy made it so easy.... thanks bro.....

    • @campusx-official
      @campusx-official  Před rokem +22

      Watching more video of this guy can help you more :)

    • @meaw3409
      @meaw3409 Před rokem +1

      Yeah he made it really easy tbh

  • @creativevision9204
    @creativevision9204 Před rokem +2

    lot of us indian students will be well versed and experienced in machine learning thanks to you.

  • @The_big_shot614
    @The_big_shot614 Před 10 měsíci

    thank you sir . Just got the best playlist in the whole youtube

  • @ShashwatPandeyindia
    @ShashwatPandeyindia Před 2 lety +9

    This is a very very helpful video .... especially the last kaggle dataset to google colab part. Thanks a lot Nitish !

  • @Taraprasaddash1994
    @Taraprasaddash1994 Před rokem +4

    Feeling blessed to come across your channel

  • @user-xj5lq2ox3l
    @user-xj5lq2ox3l Před 6 dny

    I still feel its a blessing to get to know about your channel

  • @PyMLHub
    @PyMLHub Před měsícem

    Excellent way to explain Anaconda environment. Thank you

  • @amancoder1
    @amancoder1 Před 5 měsíci

    till now what i feel is that it is best playlist ,hope i enjoy this whole playlist ,thanks a lot sir , for such a effort

  • @Scooterboy_and_freinds109
    @Scooterboy_and_freinds109 Před 11 měsíci

    Fantastic Demo, Thanks for sharing the tips & tricks

  • @manishmaurya2365
    @manishmaurya2365 Před 2 lety +1

    i am loving this course yrr😍😋

  • @ashishprasadverma9428

    Thankyou so much sir,now I have learned how to use Kaggle data in collab.

  • @paragvachhani4643
    @paragvachhani4643 Před rokem +9

    Sir aapne to economical weaker section ke aspirant ke problem ka solution de diya..u r such a great teacher...

  • @muhammadsaif1046
    @muhammadsaif1046 Před 5 měsíci

    Very nice lecture.....loving this flow

  • @shubhamdewalkar1948
    @shubhamdewalkar1948 Před 9 měsíci

    Very Good , Keep the good work..! continue Thanks

  • @arpitajana947
    @arpitajana947 Před 2 lety +1

    Thankk you soo much Sir!!!!! I wish koi hume college mein aise sikhata, I really struggled with importing Datasets before 🙃

  • @Ravi-sl5ms
    @Ravi-sl5ms Před 2 lety +1

    quite informative. Thank you

  • @muhammadhabib1616
    @muhammadhabib1616 Před rokem

    You are a jam sir. I must say that you are my life Saviour

  • @manuradha9535
    @manuradha9535 Před rokem +3

    You are simply superb. Your videos are basic and easy to follow through. Thank you for doing this to your community.

  • @user-ij6ko4or1d
    @user-ij6ko4or1d Před 3 měsíci

    this video is very helpful .. thank you so much Sir .

  • @amrit8445
    @amrit8445 Před 11 měsíci

    Thank you so much sir for sharing these so very useful details...Thanks alot sir for making this so informative playlist👌😇

  • @danishthev-log2264
    @danishthev-log2264 Před 5 měsíci

    you r doing great sir............

  • @suhaibdata
    @suhaibdata Před rokem

    you every video is worth watching

  • @jatinnandwani6678
    @jatinnandwani6678 Před rokem

    Thanks so much
    Excellent simply excellent

  • @MachineMindMastery
    @MachineMindMastery Před rokem

    Thank you very much it helped me a lot .

  • @talkwithjyoti1883
    @talkwithjyoti1883 Před rokem

    you really deserver more respect

  • @RedCherry365
    @RedCherry365 Před 3 měsíci

    Thank you so much Sir

  • @prosen9w
    @prosen9w Před rokem

    top-notch content

  • @techvideos5410
    @techvideos5410 Před rokem

    Amazing sir

  • @SACHINKUMAR-px8kq
    @SACHINKUMAR-px8kq Před rokem

    Thankyou so much Sir

  • @himanshubelsare1238
    @himanshubelsare1238 Před 2 lety

    Great work..👍

  • @dhanusagar3066
    @dhanusagar3066 Před 8 měsíci

    you are a gem sir

  • @xyz-pc3tl
    @xyz-pc3tl Před rokem

    Thanks a lot sir....

  • @abhishekshuklaofficial47

    Pura samajh mein a Gaya sar

  • @gssmytube
    @gssmytube Před 4 měsíci

    very good sir thank you so much

  • @shrikb
    @shrikb Před 2 lety

    Thank you ❤️😁🙏🏻

  • @kashifabdullah9665
    @kashifabdullah9665 Před 11 měsíci

    Amazing❤

  • @practicaltechyoutubechanne9731

    Thank you soooooo much sir. I bought a new mac for machine learning and I was struggling to set up my required software. You vedio helped a loot.

  • @payana5024
    @payana5024 Před 6 měsíci

    thank you sir 🙏

  • @SumitDabas-eb1rs
    @SumitDabas-eb1rs Před 2 dny

    Thankyou sir❤❤

  • @vipin2872
    @vipin2872 Před měsícem +2

    Very informative, also pls mk video on how to upload test data and how its done for
    kaggle competition

  • @alokjha4295
    @alokjha4295 Před rokem

    Thank You!!!

  • @cameographyofficialchannel
    @cameographyofficialchannel Před 8 měsíci

    Love you sir❤

  • @jatinnandwani6678
    @jatinnandwani6678 Před rokem

    Thanks!

  • @narendraparmar1631
    @narendraparmar1631 Před 6 měsíci

    thanks

  • @Akash-nn2xi
    @Akash-nn2xi Před rokem

    Thanks

  • @richaaggarwal07
    @richaaggarwal07 Před 2 lety +4

    literally an amazing course.. Thank You so Much 😁

    • @Aditya-zf7wq
      @Aditya-zf7wq Před 2 lety +1

      Have you gone through Krish Naik's course? Is it better then his course?

  • @E2_1B
    @E2_1B Před rokem

    Damm ! 👍😌

  • @tanmayshinde7853
    @tanmayshinde7853 Před 2 lety +2

    is there any need to learn core language like c++ orr java for an interview in MNCs?

  • @user-ck8xu2nw9q
    @user-ck8xu2nw9q Před 11 měsíci +2

    33:58 important, how to use kaggle dataset directly in colab

    • @morhadi
      @morhadi Před 6 měsíci

      Willl the 2gb of dataset add up to google drive storage?

  • @aakashsingh5076
    @aakashsingh5076 Před rokem +2

    Sir Can I directly use Jupyter Notebook without installing anaconda

  • @santoshkumarpandit7101
    @santoshkumarpandit7101 Před 4 měsíci

    Hi please help me as my system is Windows 7 little old laptop...so i am not able to find compatible recent anaconda download files...where and how can i find it ?

  • @bhmchamakunar
    @bhmchamakunar Před 9 dny

    sir I also facing this problem 'environment delete problem' after 3 or 4 try . then I remove env from anaconda nevigator firstly after that remove env from anaconda promt then its done👍

  • @krishnakanthmacherla4431

    done

  • @user-zj7xe7bd6b
    @user-zj7xe7bd6b Před 10 měsíci

    how to create a virtual environment with a particular python version in jupyter ?

  • @morhadi
    @morhadi Před 6 měsíci

    Willl the 2gb of dataset add up to google drive storage?

  • @daniyalalikhan2656
    @daniyalalikhan2656 Před rokem

    Amazing explanation sir lakin sir mujh se kaggle pr titanic walay dataset ka link copy nhi hua copy ka option hi nhi mil raha

  • @aparichitthestranger7907

    I'm getting attribute error for pandas cannot find read_csv(). What can be done?

  • @ummeist
    @ummeist Před 7 měsíci

    How did you made the text bold? can anyone help

  • @13varunp65
    @13varunp65 Před 2 měsíci

    34:00 how to import a large data set at a time in google colab

  • @ecanalysis7589
    @ecanalysis7589 Před 5 měsíci

    thank u sooooooooo muchh sir

  • @preetiyadav9891
    @preetiyadav9891 Před 2 měsíci

    sir it's showing pd is not defined

  • @sharikamushtaq5823
    @sharikamushtaq5823 Před rokem

    How to download all these libraries

  • @saumyashah6622
    @saumyashah6622 Před 3 lety +1

    How does making a virtual environment help in deploying ML solutions on a server(remote)? If we take remote connection of the server, we would need to install complete anaconda on it, so it will install all the requirements right ? And hence consume our 440MBs of data. I am confused over the concept. Can you please elaborate.

    • @campusx-official
      @campusx-official  Před 3 lety +4

      No you don't need to install anaconda on the remote server. Will explain it in detail in a future video

  • @gabrielmaria295
    @gabrielmaria295 Před 9 měsíci

    if i want to download another dataset from kaggle should i need to repeat the whole steps or just start from copy api command. just want to verify whether i need to repeat the make directory step again. thank you

    • @devanshdubey4588
      @devanshdubey4588 Před 6 měsíci

      Aapko iska solution mila?

    • @morhadi
      @morhadi Před 6 měsíci

      Willl the 2gb of dataset add up to google drive storage?

  • @singhtomar6593
    @singhtomar6593 Před 2 lety +1

    #I keep getting the following error on COLAB:
    NameError: name 'extractall' is not defined
    import zipfile
    zip_ref = zipfile.ZipFile('/content/factors-affecting-campus-placement.zip', 'r')
    zip_ref = extractall('/content')
    zip_ref.close()

  • @COMEDY_007..
    @COMEDY_007.. Před 6 měsíci

    Sir pta nhi kyo lekin aapse padhne ka mza hi kuch aur hai, maine baaki teachers ke lecture bhi dekhe hai aur bore ho jata hu ek time baad

  • @dwaipayanbiswas3864
    @dwaipayanbiswas3864 Před 2 lety +2

    Sir vs code mai machine Learning karne pe bohot dikkat aarahi hai 🥲

  • @abhishekshuklaofficial47

    Sir channel ko subscribe kar lijiye

  • @karanparashar6824
    @karanparashar6824 Před 3 měsíci

    you know how to teach

  • @himanshusingh8749
    @himanshusingh8749 Před 5 měsíci

    Now Anaconda is 1GB

  • @JourneytoWINover_PORN
    @JourneytoWINover_PORN Před 6 měsíci

    NICE AND TRICKY WAY

  • @shahbazfarooq5230
    @shahbazfarooq5230 Před 7 měsíci

    salam, I'm from Pakistan. just luv ur videos,I need some suggestions from you can you please help me out,If yes please let me know how to contact you. Thank you in advance

  • @smileshs1
    @smileshs1 Před 6 měsíci

    Thanks!

  • @MRAgundli
    @MRAgundli Před 3 měsíci

    done

  • @neerajdatar7950
    @neerajdatar7950 Před měsícem

    Thank you so much sir