Will

Machine Learning

Resources

• scikit-learn Tutorials and Documentation,

• Text Feature Extraction; Bag of Words Reference

• More on Text

• An Overview of ML and sklearn

• Kaggle Tutorials and Data Sets,

• For a tutorial on bag-of-words algorithms

• and a labeled data set appropriate for a BOW project.

• Jupyter Notebooks on ML in Python,

• a well documented example project

• the same project without any output (fun guessing)

• and an exercise.

• https://github.com/justmarkham/pycon-2016-tutorial

• https://github.com/justmarkham/pycon-2016-tutorial/blob/master/data/sms.tsv

• Udacity (per the article sent to me by you),

• Introduction to Machine Learning

• https://classroom.udacity.com/courses/ud120/lessons/2410328539/concepts/24185385370923#

• Machine Learning

• https://classroom.udacity.com/courses/ud262/lessons/3625438937/concepts/6405791890923#

• Jim fall2004 crypto

• Jim on Bayes Theorem, Hidden Markov Models, Machine Learning, Particle Filters, and all that

Journal

• Sep 2
• Sep 6 - starting to look at the iris data in scikit-learn
• Sep 9 - friday meeting
• Sep 16
• Sep 17
• Sep 23
• Sep 30
• Oct 7
• Oct 20
• Oct 27
• Nov 4
• Nov 10
• Nov 22

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