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Materials for the Erdos Institute's Code Programming Bootcamp, May 2019.
Jupyter Notebook Python
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01IntroductionToPython.ipynb
02RandomnessAndBasicStatistics.ipynb
03WorkingWithData.ipynb
04DictionariesAndWorkingWithText.ipynb
05PandasAndDataVisualization.ipynb
06LinearRegression.ipynb
07PolynomialAndLogisticRegression.ipynb
08MulticlassClassification.ipynb
09SupervisedLearning.ipynb
10PrincipalComponentAnalysis.ipynb
11DimensionReduction.ipynb
12Clustering.ipynb
13MoreClustering.ipynb
NeedhamBootcampSyllabus.pdf
README.md

README.md

Python-Bootcamp-2019

These are materials for the Erdos Institute Code programming bootcamp, taking place May 2019 at The Ohio State University.

The course is designed for graduate students and postdocs in quantitative fields, assuming no prior experience in Python or coding in general. Please see the syllabus for a more detailed description of the course.

For the first two weeks, the main course material will be contained in Jupyter notebooks. These are written by me, but will borrow heavily from material created by other people involved in the bootcamp:

James Carlson https://github.com/jxxcarlson

Jim Fowler https://github.com/kisonecat

Matthew Osborne https://github.com/matthewosborne71

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