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Designing a collaborative filter for movie recommendation using kmeans clustering

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dipendra_jha_hw2
dipendra_jha_hw2
 
 
eecs349-fall-14-hw2-included-files
eecs349-fall-14-hw2-included-files
 
 
3asolution.pdf
3asolution.pdf
 
 
3bsolution.pdf
3bsolution.pdf
 
 
3graphs.py
3graphs.py
 
 
6cgraphs.pdf
6cgraphs.pdf
 
 
6dgraphs.pdf
6dgraphs.pdf
 
 
6egraphs.pdf
6egraphs.pdf
 
 
6fgraphs.pdf
6fgraphs.pdf
 
 
EECS 349.docx
EECS 349.docx
 
 
EECS 349.pdf
EECS 349.pdf
 
 
Homework 2 solutions.docx
Homework 2 solutions.docx
 
 
Homework 2 solutions.pdf
Homework 2 solutions.pdf
 
 
crossvalidation.py
crossvalidation.py
 
 
cvgraphs.py
cvgraphs.py
 
 
dipendra_jha_hw2.zip
dipendra_jha_hw2.zip
 
 
eecs349-fall14-hw2 .pdf
eecs349-fall14-hw2 .pdf
 
 
item_cf.py
item_cf.py
 
 
nfoldpolyfit.py
nfoldpolyfit.py
 
 
perceptrona.py
perceptrona.py
 
 
perceptronc.py
perceptronc.py
 
 
t.data
t.data
 
 
u.data
u.data
 
 
user_cf.py
user_cf.py
 
 

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Designing a collaborative filter for movie recommendation using kmeans clustering

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