https://github.com/cs109/content

Official content for Harvard CS109
https://github.com/cs109/content

Last synced: 1 day ago
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Official content for Harvard CS109

• Host: GitHub
• URL: https://github.com/cs109/content
• Owner: cs109
• License: mit
• Created: 2013-08-23T00:06:50.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2022-12-21T00:11:06.000Z (about 2 years ago)
• Last Synced: 2024-12-13T06:04:16.328Z (8 days ago)
• Language: Jupyter Notebook
• Homepage: http://cs109.org
• Size: 17.1 MB
• Stars: 1,764
• Watchers: 248
• Forks: 1,588
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• my-awesome-starred - content - Official content for Harvard CS109 (Python)

README

        
Welcome to CS109: Data Science

=======

## Assignments

* [Homework 0](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW0.ipynb): Hello, world ([solutions](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW0_solutions.ipynb))

* [Homework 1](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW1.ipynb): Which of two things is larger? ([solutions](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW1_solutions.ipynb))

* [Homework 2](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW2.ipynb): Desperately Seeking Silver ([solutions](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW2_solutions.ipynb))

* [Homework 3](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW3.ipynb): Bayesian Tomatoes ([solutions](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW3_solutions.ipynb))

* [Homework 4](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW4.ipynb): Do We Really Need Chocolate Recommendations? ([solutions](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW4_solutions.ipynb))

* [Homework 5](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW5.ipynb): Networks and Congress ([solutions](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/HW5_solutions.ipynb))

## Lecture Supplements

* [A gallery of statistical graphs with matplotlib](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/lec_03_statistical_graphs.ipynb) (see also the version with [default matplotlib styles](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/lec_03_statistical_graphs_mpl_default.ipynb))

* [A rubric for data wrangling and exploratory data analysis](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/lec_04_wrangling.ipynb)

* [Web Scraping and Parsing Demo](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/lec_04_scraping.ipynb)

* [Cross Validation: The Right and Wrong Way](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/lec_10_cross_val.ipynb)

## Labs

* [Lab 2: Web Scraping](https://github.com/cs109/content/tree/master/labs/lab2)

* [Lab 3: EDA, Pandas, Matplotlib](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/labs/lab3/lab3full.ipynb)

* [Lab 4: Scikit-Learn, Regression, PCA](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/labs/lab4/Lab4full.ipynb)

* [Lab 5: Bias, Variance, Cross-Validation](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/labs/lab5/Lab5.ipynb)

* [Lab 6: Bayes, Linear Regression, and Metropolis Sampling](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/labs/lab6/BayesLinear.ipynb)

* [Lab 7: Gibbs Sampling](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/labs/lab7/GibbsSampler.ipynb)

* [Lab 8: MapReduce](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/labs/lab8/lab8_mapreduce.ipynb)

* [Lab 9: Networks](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/labs/lab9/lab_9.ipynb)

* [Lab 10: Support Vector Machines](http://nbviewer.ipython.org/urls/raw.github.com/cs109/content/master/labs/lab10/Lab_10.ipynb)

## Other Resources

* [Setting up Python](https://github.com/cs109/content/wiki/Installing-Python)