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.ipynb_checkpoints
.ipynb_checkpoints
 
 
__pycache__
__pycache__
 
 
AmesHousePrices-thomas.ipynb
AmesHousePrices-thomas.ipynb
 
 
AmesHousePrices.ipynb
AmesHousePrices.ipynb
 
 
FeatureEng & svm.ipynb
FeatureEng & svm.ipynb
 
 
Proposal.Rmd
Proposal.Rmd
 
 
Proposal.html
Proposal.html
 
 
README.md
README.md
 
 
Support Machine Regression.ipynb
Support Machine Regression.ipynb
 
 
Untitled.ipynb
Untitled.ipynb
 
 
helper_functions.py
helper_functions.py
 
 
stacked-regressions-top-4-on-leaderboard.ipynb
stacked-regressions-top-4-on-leaderboard.ipynb
 
 
submission.csv
submission.csv
 
 
test.csv
test.csv
 
 
train.csv
train.csv
 
 

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Ames House Pricing

A group project done with severel collegues from my University. One of the first approaches for us all at a regression task. The used methods and a detailed documentation can be found inside the Jupyter Notebook file -> AmesHousePrices.ipynb

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