Going through CS109 - Data Science from Harvard during the winter break!

Heads up: my solution may not be correct. Check out the original repo, or the directory official_solutions.

Labs and Homework solved:

• Lab X
• Homework 0
• Homework 1
• Homework 2
• Homework 3
• Homework 4
• Homework 5

Below is the original README from them.

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Welcome to CS109: Data Science

Official Course Page

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 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