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Syllabus

2/5/18 + 2/12/18 - Intro to Python - Zach

Follow us through the Codecademy tutorial on python: https://www.codecademy.com/learn/learn-python

2/19/18 - Intro to Data Science in Python - Larry

DataCamp tutorial on Learning Python for Data Science: https://www.datacamp.com/courses/intro-to-python-for-data-science

2/26/18 - Install Programs - Zach

Setup Anaconda, then Tensorflow, then Keras. Setup Conda environment (TDS) for use during Monday night lectures! (Note: the Jupyter notebook installation procedure occurs on 3/12/18)

3/5/18 - Introduction to Keras Pt 1 - Mijael

Learn how to use Keras w/ Mijael! (And find out that our Conda environments aren't setup for Jupyter)

3/12/18 - (Troubleshooting Conda Env Installation for Jupyter) - Mijael + Zach

Mijael and Zach distribute .yml conda environment files for PC's and Mac's

3/21/18 -Introduction to Keras Pt 2 - Mijael

Learn how to use Keras w/ Mijael! (with working conda environments)

3/26/18 - Build a Model from Scratch - Dennis

Go through the pain of manually setting up the matrix algebra used in neural networks...

4/2/18 - CV and Understand Your Model - Dennis

...and learn how easy it is to do it in Keras!

4/9/18 - Building Your First Neural Network - Zach

Follow the MachineLearningMastery.com tutorials:

4/16/18 - ??? - Zach wasn't here to document the things ¯_(ツ)_/¯

4/23/18 - Intro to Git

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  • Jupyter Notebook 99.2%
  • Python 0.8%