README.md

Welcome to CS109: Data Science

Official Course Page

Assignments

• Homework 0: Hello, world
• Homework 1: Which of two things is larger?
• Homework 2: Desperately Seeking Silver
• Homework 3: Bayesian Tomatoes
• Homework 4: Do We Really Need Chocolate Recommendations?
• Homework 5: Networks and Congress

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 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