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add note about notebook updates

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Kevin Markham 2018-06-29 13:50:36 -04:00
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@ -6,6 +6,8 @@ There are **9 video tutorials** totaling 4 hours, each with a corresponding **Ju
You can [watch the entire series](https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A) on YouTube, and [view all of the notebooks](http://nbviewer.jupyter.org/github/justmarkham/scikit-learn-videos/tree/master/) using nbviewer.
**Note:** The notebooks in this repository have been updated to use Python 3.6 and scikit-learn 0.19.1. The original notebooks (shown in the video) used Python 2.7 and scikit-learn 0.16, and can be downloaded from the [archive branch](/tree/archive).
[![Watch the first tutorial video](images/youtube.png)](https://www.youtube.com/watch?v=elojMnjn4kk&list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A&index=1 "Watch the first tutorial video")
Once you complete this video series, I recommend enrolling in my online course, [Machine Learning with Text in Python](http://www.dataschool.io/learn/), to gain a deeper understanding of scikit-learn and Natural Language Processing.