Jake VanderPlas - Machine Learning with Scikit-Learn (I) - PyCon 2015
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- čas přidán 8. 04. 2015
- "Speaker: Jake VanderPlas
This tutorial will offer an introduction to the core concepts of machine learning and the Scikit-Learn package. We will introduce the scikit-learn API, and use it to explore the basic categories of machine learning problems and related topics such as feature selection and model validation, and practice applying these tools to real-world data sets.
Slides can be found at: speakerdeck.com/pycon2015 and github.com/PyCon/2015-slides"
This is an excellent tutorial for learning scikit - machine learning in python. Jake is a great speaker and will ignite your interest in python & ML if you are not already excited about it ;).
Thanks Jake!
Notebooks and other materials can be found here: github.com/jakevdp/sklearn_pycon2015
Also, you can view the notebooks statically on nbviewer: nbviewer.ipython.org/github/jakevdp/sklearn_pycon2015/blob/master/notebooks/Index.ipynb
Jake Vanderplas Hey this was great, made my first entry to Kaggle, based on what i learn of your tutorial. Good stuff !
Sivathanu Kumaraswamy I think the fig_code module is in his github, you need to get it seperately from scikit learn.
This tutorial was great, Jake. Thank you for sharing your knowledge and skills!
Excellent lecture. Jake did a fabulous job presenting basic though fundamental ideas about machine learning and scikit implementation. Thank you very much!
I learned a lot from this 3 hours video.
Excellent talk! Having the ipython notebooks to follow along and experiment with is also a huge bonus for learning the material. Thanks Jake!
Awesome presentation. I learnt a ton. Thanks Jake!
This is great Video about Python for Machine Learning, very informative, thank you Jake!
this is a great tutorial to get a concept of sklearn. Thank you;)
Excellent talk and content!
skip to 11:17
Hey, great tutorial. However, I am getting the DeprecationWarning for your 03.1 notebook. It is asking me to reshape the "X" set. Could you help me understand why it going on with that error?
Thanks
Nice presentation Jake. where could I find the code presented?
why am I getting the linear regeression coef_ as 2.000002 and intercept as 0.999999
code runs into error for SVM, Decision tree, Random Forests etc seems this code doesn't work with python 3.6
ok...I found the code now. thanks.
give me the link for the code
Five years later, it seems there are several things in the notebooks that have been deprecated and will not run unless you install the older versions. Is there an easy way to update the notebook code?
Github and slides link(not showing any uploaded slides) is not working. Please fix. Thanks
+Monal Jain just checked, it works ...
Under the hood :P
Somehow I don't like this style of explaining.
One year later and I love it.