Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python Tutorial | Simplilearn

///Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python Tutorial | Simplilearn

Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python Tutorial | Simplilearn

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This Scikit-learn tutorial will help you understand what is Scikit-learn, what can we achieve using Scikit-learn and a demo on how to use Scikit-learn in Python. Scikit is a powerful and modern machine learning python library. It’s a great tool for fully and semi-automated advanced data analysis and information extraction. There are a lot of reasons why Scikit-Learn is a preferred machine learning tool. It has efficient tools to identify and organize problems, such as whether it fits a supervised or unsupervised learning model. It contains many free and open data sets. It has a rich set of built-in libraries for learning and predicting. It provides model support for every problem type. It also has built-in functions such as pickle for model persistence. It is supported by a huge open source community and vendor base. Now, let us get started and understand Sciki-Learn in detail.

Below topics are explained in this Scikit-Learn tutorial:
1. What is Scikit-learn? (00:26)
2. What we can achieve using Scikit-learn (00:59)
3. Demo (03:52)

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By |2019-07-18T21:18:19+00:00July 18th, 2019|Python Video Tutorials|38 Comments

38 Comments

  1. Simplilearn July 18, 2019 at 9:18 pm - Reply

    Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Also, if you would like to have the dataset for implementing the use case shown in the video, please comment below and we will get back to you. Thanks watching the video. Cheers !!

  2. Byron Hayes July 18, 2019 at 9:18 pm - Reply

    Gah, I hate comments. Can I get the wine dataset or can someone post on github? Thanks!

  3. Feroz Khan July 18, 2019 at 9:18 pm - Reply

    Irritating voice

  4. akaziehl July 18, 2019 at 9:18 pm - Reply

    I didn't understand why you use fit_transform on X_train but only transform on X_test. Shouldn't you also fit for the testing since it's how it's being trained?

  5. bpunsky July 18, 2019 at 9:18 pm - Reply

    Painful hearing this guy mispronounce perceptron 🤣

  6. amirhossein sarfi July 18, 2019 at 9:18 pm - Reply

    Thanks for this incredible tutorial, Does it have a second part?

  7. glowish1993 July 18, 2019 at 9:18 pm - Reply

    Wow, this is a masterful crash course for people that alr has some knowledge, learnt quite a few things as well, thanks so much!!
    Also, are there any plans for more episodes of scikit learn?

  8. Tanmay Kadam July 18, 2019 at 9:18 pm - Reply

    In bins(2,6.5,8)
    What is use of 8?

  9. Benjamin Lowe July 18, 2019 at 9:18 pm - Reply

    Hi, could I please have the dataset?

  10. SAS Account July 18, 2019 at 9:18 pm - Reply

    You can google the wine data set by searching '
    winequality-red.csv' and get it from the uci repository. You can also copy the link address of the file off the website and paste it into the pandas input parameter where you would type in 'winequality-red.csv'

  11. Paramjeet Singh July 18, 2019 at 9:18 pm - Reply

    Please tell me which library and tools should i use to make a chatbot

  12. Paramjeet Singh July 18, 2019 at 9:18 pm - Reply

    Sir can you tell me that scikit learn can used for chatbot

  13. Kelvin K Sadzauchi July 18, 2019 at 9:18 pm - Reply

    Hi, l would like to have this wine dataset. Thank you!

  14. Alejandro Morcillo Alegre July 18, 2019 at 9:18 pm - Reply

    Hi, you made the transform of the X_train and X_test separately. Would not it be a better idea to rescale when they are together and then separate them?

  15. Harjit Singh July 18, 2019 at 9:18 pm - Reply

    Can you do a tutorial showing the Linear Algebra/Calculus required for both machine learning and deep learning? Great video btw

  16. Deepak Sharma July 18, 2019 at 9:18 pm - Reply

    Hello ..I tries to replicate it on same data. But I am getting error on pd.cut step.

    # preprocessing of data

    bins = (2,6.5,8)

    group_name =['bad', 'good']

    wine['quality'] = pd.cut(wine['quality'] , bins= bins, labels = group_name)

    # preprocessing of data

    bins = (2,6.5,8)

    group_name =['bad', 'good']

    wine['quality'] = pd.cut(wine['quality'] , bins= bins, labels = group_name)

    Error >> TypeError: '<' not supported between instances of 'float' and 'str

  17. Abdillah Mohamed July 18, 2019 at 9:18 pm - Reply

    I am new in machine learning and now I am facing an issue. I have 7 projects I would like to predict whether a pull request would be rejected or not (Yes or No). And I would like to build a prediction model by using data from 6 projects as source project and predict the rejection of the pull request in the seventh project as a target project. Can you please tell me how can I structure my algorithm in Scikit-learn? Hope that my question is clear.
    Thanks

  18. Julian Barthel July 18, 2019 at 9:18 pm - Reply

    Been following this tutorial to the letter with an exception of the dataset(im using a set with 4500 lines )

    When i get to 28:28 in the video i get the following error
    object of type 'CategoricalDtype' has no len()
    does any one here have a ide of why?

  19. fcid2020 July 18, 2019 at 9:18 pm - Reply

    Hi Richard. I'm starting to learn machine learning/scikit/tensorflow. Thanks for your tutorial. Please send me the dataset and code. Thanks! (fcid2020wb@hotmail.com)

  20. ray ho July 18, 2019 at 9:18 pm - Reply

    Hi can I get this wine data set? please and thank you.

  21. Memes V3.0 July 18, 2019 at 9:18 pm - Reply

    Can i plz get this wine dataset….Thanking u in anticipation

  22. Hsin-Yi Wang July 18, 2019 at 9:18 pm - Reply

    Hi Simplileran, This video is really useful for me as a beginner to learn the Scikit-learn. Could you please also send me the dataset for practicing? Thanks!. my gmail is eric750312

  23. Vesselin Nikov July 18, 2019 at 9:18 pm - Reply

    Hello there! Any chance to grant me access to both the dataset and script used in this video? My e-mail is v(dot)nikov(at)gmail(dot)com

  24. Shoaib Sami July 18, 2019 at 9:18 pm - Reply

    Thanks for nice explanation. Could you please share python code and dataset in my email? .
    ( shoaib.eee08@gmail.com)

  25. Math Done Wright July 18, 2019 at 9:18 pm - Reply

    Could you email me the files you used for the data please?
    Dwrig28@gmail.com

  26. Anele Mbabela July 18, 2019 at 9:18 pm - Reply

    CAn you please forward me the dataset. anelembabela@gmail.com

  27. Nor Hamizah Miswan July 18, 2019 at 9:18 pm - Reply

    Thank you for this wonderful video. Can you please sent me the data use to my email, miza1208@gmail.com

  28. Mandeep baluja July 18, 2019 at 9:18 pm - Reply

    Love it 😊

  29. Emerson de Oliveira July 18, 2019 at 9:18 pm - Reply

    Thanks! excelent tutorial.

    But I have a problem: 1 -> 1382
    , 0 -> 217. Any solution?

  30. Rahul Dayma July 18, 2019 at 9:18 pm - Reply

    Where can i get this wine dataset??

  31. Reda Rabie July 18, 2019 at 9:18 pm - Reply

    thanks you for your video;
    where i can get the dataset used in this video ?

  32. Daniel Weikert July 18, 2019 at 9:18 pm - Reply

    Shouldn't the data we feed into our model for prediction (X new) be an numpy array? Thanks

  33. Upender Muddasani July 18, 2019 at 9:18 pm - Reply

    May be not related to the video content but i had a question in mind . . 1. lets assume that we have 1 crore size of dataset . say if i wanna work on 1 lakh size dataset , how to do that ? ( Theoretically and Code ). 2. Let's assume i'm working on dataset and using stemming , tokenization i compressed and cleaned the data and now i wanna divide the data on time frame . i mean like 70 % training set and rest 30 % test set . And after preprocessing of entire 1 crore dataset , i wanna take 100k sample data . how to make that possible ? thoery and practical code ? Can You please help me with this ? if possible post a video or audio clip in drive and share or any other . Thank You

  34. Nureyn A July 18, 2019 at 9:18 pm - Reply

    Thanks for the lecture. very clear but what the purpose of the last cell?

  35. anandaveeryan duraisamy July 18, 2019 at 9:18 pm - Reply

    where i can get the winequality-red.csv file??

  36. Eternal Mist July 18, 2019 at 9:18 pm - Reply

    terrible audio – great content!

  37. Nadim Anik July 18, 2019 at 9:18 pm - Reply

    use a better microphone please !

  38. Learn Excel July 18, 2019 at 9:18 pm - Reply

    Thanks for the video!

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