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Official content for Harvard CS109
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Welcome to CS109: Data Science
Assignments
Homework 0
: Hello, world (
solutions
)
Homework 1
: Which of two things is larger? (
solutions
)
Homework 2
: Desperately Seeking Silver (
solutions
)
Homework 3
: Bayesian Tomatoes (
solutions
)
Homework 4
: Do We Really Need Chocolate Recommendations? (
solutions
)
Homework 5
: Networks and Congress (
solutions
)
Lecture Supplements
A gallery of statistical graphs with matplotlib
(see also the version with
default matplotlib styles
)
A rubric for data wrangling and exploratory data analysis
Web Scraping and Parsing Demo
Cross Validation: The Right and Wrong Way
Labs
Lab 2: Web Scraping
Lab 3: EDA, Pandas, Matplotlib
Lab 4: Scikit-Learn, Regression, PCA
Lab 5: Bias, Variance, Cross-Validation
Lab 6: Bayes, Linear Regression, and Metropolis Sampling
Lab 7: Gibbs Sampling
Lab 8: MapReduce
Lab 9: Networks
Lab 10: Support Vector Machines
Other Resources
Setting up Python
Open Source Agenda is not affiliated with "Cs109 Content" Project. README Source:
cs109/content
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Last Commit
1 year ago
Repository
cs109/content
License
MIT
Homepage
http://cs109.org
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Dec 11, 2022
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Dec 11, 2022
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