candrayasa/content

Official content for Harvard CS109

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