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Data Science at Scale, U Washington, Coursera

1 Data Manipulation at Scale: Systems and Algorithms 2 Practical Predictive Analytics: Models and Methods 3 Communicating Data Science Results

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
DataSci_Capstone_Report.pdf		DataSci_Capstone_Report.pdf
MapReduce.py		MapReduce.py
README.md		README.md
asymmetric_friendships.py		asymmetric_friendships.py
detroit.py		detroit.py
frequency.py		frequency.py
friend_count.py		friend_count.py
happiest_state.py		happiest_state.py
inverted_index.py		inverted_index.py
join.py		join.py
multiply.py		multiply.py
p1 result.txt		p1 result.txt
p1.txt		p1.txt
p2a result.txt		p2a result.txt
p2b result.txt		p2b result.txt
p3a result.txt		p3a result.txt
p3b result.txt		p3b result.txt
p4 result.txt		p4 result.txt
problem_a.txt		problem_a.txt
problem_b.txt		problem_b.txt
problem_c.txt		problem_c.txt
problem_d.txt		problem_d.txt
problem_e.txt		problem_e.txt
problem_f.txt		problem_f.txt
problem_g.txt		problem_g.txt
problem_h.txt		problem_h.txt
problem_i.txt		problem_i.txt
seaflow.r		seaflow.r
sf_crime.R		sf_crime.R
sf_crime.RMD		sf_crime.RMD
sf_crime.html		sf_crime.html
term_sentiment.py		term_sentiment.py
top_ten.py		top_ten.py
tweet_sentiment.py		tweet_sentiment.py
twitterstream.py		twitterstream.py
unique_trims.py		unique_trims.py
wordcount.py		wordcount.py

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