Introduction to Interactive Predictive Analytics in Python with scikit-learn



Olivier Grisel
The goal of this tutorial is to give the attendee a first experience of machine learning tools applied to practical software engineering tasks such as language detection of tweets, topic classification of web pages, sentiment analysis

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15 Comments

  1. Olivier GriselCan you please explain , how do u convert categorical feature into number, if u represent blue , red Ā and purple as either 1 or 0, u made all 3 same ( i did not get that really)

  2. Thank-you so much for publishing your lecture. In an attempt to help others … If you copy and paste the url…It displayed the last part of the address as " /2012/community/tu%C2%ADtorials/195/ " for me. Others may want to check this url and remove the " %C2A" to get the correct url with the owrd tutorials intact.

  3. looks like data is not downloaded by default in the tutorial files. using the below worked for me:

    fetch_20newsgroups(subset='train', categories=categories, shuffle=True, random_state=42, download_if_missing=True)

  4. great tutorial. thanks for sharing.

    when i try to do the text analytics part, it says 'No handlers could be found for logger "sklearn.datasets.twenty_newsgroups".

    I downloaded from the webpage in your comments, followed all instructions… and other tutorials work fine. let me know if there's anything i am missing.

    thanks,
    s

  5. Actually the link us.pycon.org/2012/community/tutorials/195/ works but maybe youtube is inserting additional chars to prevent linking from the comments (for spam and link farms).

  6. Here are the tutorial setup instructions along with a link to the downloadable archive with all the material (text, exercises and solutions): us.pycon.org/2012/community/tutorials/195/

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