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

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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[SimplilearnOfficial]

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 !!

[haha]

Hey, thanks for your great tutorial! But i have one Question about the StandardScaler Function: When you scale the trainingset, don't you have to scale the testset (and the data you're using in the later Application) with the same Values? As an Example: The Feature A has a Mean of 2 and a Std of 0.3, so you have to normalize the testset with these Values (because you have to pretend the Testset is "unknown"). So how can i extract the Mean and Std Values?

[mahyarazad]

Beautifully explained the whole sklearn methods. I have been watching youtube videos to learn this topic for a while, nonetheless I couldn't get the juice until now. I suppose this video is 100% effective for those who wants to get straight to the point.

[boyuhuang]

when I do the preprocessing data, I encounter an error, which "says bin labels must be one fewer than the number of bin edges". Could you help on this?

[alonasorochynska]

This is the best tutorial ever about his topic. All the information is given so clear. Thank you very much and do more!!!

[usamazahid]

wow....your tutorial was just bullz eye.Right on spot what was needed.A big thumbs up fir what was needed about get going about scikit learn.Keep it up!

[junpingyin]

Thanks, very helpful tutorial. I just have one question, why the precision value in the classification report is not equal to the accuracy in the confusion matrix?

[anirvana]

Hello. I am trying to sort thru a data set with values either 0 or 1 and separate them into 2 bins but the bin declaration bins=(2, .5, 1) is giving me a value error. how would I store all of that data in 2 bins?

[sourishw.]

Thanks for the video! How would I go about taking my model and exporting it so that I can use it in my own different applications? Like, how do I find the actual code of the model that I can copy into another application to use regularly?

Also, when refitting with new training data, does the standard scalar remember the scale to which it scaled the old data and apply that to the new data?

[renmeker]

Thx for explaining :)

But how could I predict the former raiting and not only if the wine is good or bad?

[varinderpunjab]

I AM getting an error 'something like 'keyerror':quality
could you help to solve this?

[DavidSer]

Thank you!!! super straightforward and easy to follow along.

[selvamraj]

How to get the parameters for the prediction, so that we could use that parameters for future estimate offline in some other software like Excel?

[aliasjad]

this is tutorial is incredible and very helpful. i had many doubts about scikit-learning, now with this tutorial my problems have been solved

[ChrisPChickennn]

Hi, Thanks for providing a great intro to scikit learn.. Im trying to recreate the analysis on a test file, but im running into an issue. I am trying to predict the font colour for a coloured background in an excel file.. I created a bunch of random RGB values and found their grayscale value to determine if the font colour should be black or white. The black or white determination is recorded in a 4th column (after R, G, B), as 0 or 1. At cell 7 of runtime I get a KeyError - Traceback to the name of the 4th column, 'bgval'.. I've ensured everything is spelled correctly, i tried updating the CSV file to make sure the name does not confuse pandas somehow.. I edited on github instead of the csv file directly, but it reads properly with the prior cells, showing updated values. Is it because I have a binary test column? The bins are labeled (0, 0.5, 1), so I thought that should separate the bins to mimic the tutorial example.

[yashmehta]

An excellent video indeed! Had a doubt; why don't we use fit_transform for the x_test data?

[rodolfobrandao]

Very useful, thank you so much! Great lesson!

[andrew]

Why distill quality down to just "good" or "bad"? How can we rework the example to predict the numerical value for quality?

[haykogevorgyan]

May you have an eternal bliss for the effort you put in doing things in the world, my friend!

[wisemindmastery]

I have been having trouble downloading the dataset, and some others from Simplilearn videos. It downloads as .html file. Someone help me out. How do yo download the datasets?