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Applied Data Science training course (for updates and resources, read the ReadMe file below)
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BankLoans.ipynb
BankLoansSampleNotebook.ipynb
DSEthics.md
DataScience2Outline.pdf
ExPythonIris.ipynb
GraphvizExample.ipynb
NO2Apr7.csv
NewsClassifierAr.ipynb
PickledIris.ipynb
RBasics1.ipynb
RBasics2.ipynb
RBasics3.ipynb
RBasics4.ipynb
RBasics5.ipynb
README.md
SampleRNotebook.ipynb
azureml.png
crossvalidation.ipynb
iris_model.pkl
keras.ipynb
knnClassifyCv.ipynb
loans.csv
notes.md
perceptrons.ipynb
sentiment.ipynb
students.csv
students.ipynb
tf_learn.ipynb
titanic.ipynb
titanicfull.csv

README.md

Applied Data Science (DS2)

Updates:

July 11, 2017: added a sample notebook on bank loans using real local data (anonymous).
May 21, 2017: As training was concluded and projects presented yesterday, Palestine Data Science Meetup launched by course trainees. May 11, 2017: Projects presentations are planned for May 20th at 1:30 PM. You are expected to brief your trainer on your progress during session 8. Your near-final work should be ready on github on or before the 17th of May, 2017. Make sure to document your work and add an ethics section.
May 7-11, 2017: added a new file on data science ethics resources and uploaded an example on sentiment analysis in Keras (using Word2Vec).
May 4, 2017: Session 7-8 material is online: open links from ADS (Applied Data Science). Tip: to practice, clone or download branch

Info and Resources

Last updated: Dec 7, 2017

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