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Data imputation and feature reconstruction using deep learning

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Name		Name	Last commit message	Last commit date
Latest commit History 68 Commits
.vscode		.vscode
Results		Results
__pycache__		__pycache__
breast		breast
README.md		README.md
Thesis Report.pdf		Thesis Report.pdf
distcorr.py		distcorr.py
dutch_census.xls		dutch_census.xls
model1		model1
model1.ipynb		model1.ipynb
model2		model2
model2.ipynb		model2.ipynb
model3		model3
model3.ipynb		model3.ipynb
model4		model4
model4.ipynb		model4.ipynb
model5		model5
model5.ipynb		model5.ipynb

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Goal

Reconstructing a column using other features with deep learning

model1.ipynb - IRIS dataset (linear correlation)

model2.ipynb - Eckerle dataset (non-linear correlation)

Performing data imputation with deep learning

model3.ipynb - Wisconsin breas t dataset (linear correlation)

model4.ipynb - Generated dataset (non-linear corerlation with Gaussian noise)

model5.ipynb - Dutch census dataset (unknown)