Python Machine Learning Tutorial #8 - Using Sklearn Datasets

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In this machine learning python tutorial I will be introducing Support Vector Machines. This is mainly used for classification and is capable of performing classification for large dimensional data. I will also be showing you how to load datasets straight from the sklearn module.

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Tags:
- Tech With Tim
- Python Tutorials
- Machine learning tutorial
- Python machine learning
- Python machine learning tutorial
- SVM Python
- Support Vector Machines Python
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I've been wanting to get in to ML and neuralnetwork for some time now but i did not know where to start, then i found your channel and i have to say you are the best! Thank you so much for these quality content, easy to follow, fricking awesome vids Tim!

nicolaipersson
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Tim youre killing it bro. These tutorials are comprehensive and on point.

Dremr-inif
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Simple and right to the point.
Dude, this whole machine learning tutorial is dope. I can't tell you how much I've learned, seriously. If only every teacher in school were like you. Thank you very much.

orotutu
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I started to learn machine learning a week before. I had no idea about it. But your tutorials helped me alot. These tutorials are just awesome.

SouravSingh-huff
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Just want to say, that i just finished a 24 week deep dive into python/Tableau/ML/Neural Networks/Big Data, 3x a week for 3.5hrs a meeting. You have clarified this to me far more clearly than the University of Miami's Data bootcamp. Maybe its because this is all you are focusing on, but regardless, I just wanted to say outstanding job!

williambeasley
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I've got a strong background in Mathematics with a very weak one in programming, I think your series has been perfect.

byronwilliams
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Thanks alot, Tim for the video.... i'm a medical doctor from Nigeria learning Python and Java from the scratch because of the huge potential of machine learning in my profession. I'm so excited to be part of this train...

tonyvr
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Tim you simply rock mate ! I'm glad we have you sir!

peterm
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I guess I gonna watch every video you made in this channel (:

sherifmoussa
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I love your channel Tim. Recent subscriber. You explain things so well, thank-you.

jhors
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you have the best intro video as far. I really like it.

lina
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Hey Tim, love your videos and your work and teaching is amazing! Spoken from a 33 year old ;)

zvithaler
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very nice work, easy to follow and focuses on the important stuff.. hats up

talalshamijo
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Man U are great please make more video on NLP / Computer Vision "I beg u"

sharadkochhar
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Hi, I'm a complete beginner in machine learning and I had a couple of issues even just downloading the dataset from the link to breast cancer from UCL. Can you make a walkthrough from the point you download the dataset to implementing the SVM

klineoware
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Hi Tim, your videos are wonderful.
Could you also create a series on NLP ?

ameynn
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Hi Tim thank you for your videos. If I could give any feedback it would be that it would be helpful if you could go more in depth and explain what the .data and .target variables of the method load_breast_cancer actually do. For beginners it seems in the video like you pluck them out of thin air while advanced users will know its a variable of the load_breast_cancer method. Thanks again for your videos.

Coliekokker
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Hi Tim, let's assume you have can draw an hyperplan with hard margin, if we apply a kernel to the dataset, would you think that we would have different result based on the new hyperplan generated by the new dimension? what is the best choice to generate the hyperplan? go to higher dimension or stay with a lower dimension that would satisfy our results?

franky
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Just realized Kite was broke as I tried to do this. It is fixed now.

rmt
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You should do the same thing with deep learning

lifesgood
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