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"Machine Learning with Python: An Introduction to Classification Methods with Scikit-learn" by Lee Sutton #158

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brunogrande opened this Issue Feb 6, 2017 · 0 comments

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brunogrande commented Feb 6, 2017

Description

In this introductory workshop we will look at machine learning with Python using the scikit-learn library. You will build your first classification models using naive bayes, support vector machines, and logistic regression. You will learn how to fine-tune your models and what you need to consider when training your model.

Important: This workshop is intended for users who are new to machine learning but still have some experience with Python.

Time and Place

Where: Room 7200, Library Research Commons, SFU Burnaby Campus

When: Tuesday, February 21st, 2017 @ 3:00 PM

Registration

REGISTER HERE

Required Preparation

Assumed Knowledge

Some experience with python would be nice.

Software Dependencies

Links

Lessons Notes: https://github.com/Lee-Sutton/sklearn/tree/master/Classification

@dfornika dfornika added this to Scheduled Workshops in Workshop Planning Feb 6, 2017

@brunogrande brunogrande added the workshop label Feb 6, 2017

@brunogrande brunogrande added this to the Spring 2017 milestone Feb 6, 2017

@brunogrande brunogrande changed the title from "Machine Learning with Python: An Introduction to classification methods with scikit-learn" by Lee Sutton to "Machine Learning with Python: An Introduction to Classification Methods with Scikit-learn" by Lee Sutton Feb 14, 2017

@dfornika dfornika moved this from Scheduled Workshops to Completed Workshops in Workshop Planning Mar 21, 2017

@dfornika dfornika removed this from Completed Workshops in Workshop Planning Mar 21, 2017

@brunogrande brunogrande removed the workshop label May 26, 2017

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