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项目作者： n-minhhai

项目描述 ：
Data imputation and feature reconstruction using deep learning
高级语言： Jupyter Notebook
项目地址: git://github.com/n-minhhai/DL-data-imputation.git
创建时间： 2020-05-18T16:13:39Z
项目社区：https://github.com/n-minhhai/DL-data-imputation
开源协议：
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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)
Eckerle_1647663336142.pdf
model1Results_1647663336145.pdf
model2Results_1647663336169.pdf
model3Results_1647663336207.pdf
model3Results2_1647663336223.pdf
model3Results3_1647663336226.pdf
model3Results4_1647663336242.pdf
model3Results5_1647663336271.pdf
model4Results_1647663336286.pdf
model4Results2_1647663336306.pdf
model4Results3_1647663336320.pdf
model4Results4_1647663336323.pdf
model4Results5_1647663336349.pdf
model5Results_1647663336376.pdf
model5ResultsNoOutliers_1647663336379.pdf
Thesis Report_1647663336404.pdf