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This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

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edaaydinea/OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data

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Comparison F1-Score Between Train-Valid-Test Dataset.png

Comparison F1-Score Between Train-Valid-Test Dataset.png

 
 

Comparison of F1-Score Results Before and After Feature Crossing.png

Comparison of F1-Score Results Before and After Feature Crossing.png

 
 

Comparison of Test Accuracy Result - Test Tunned Accuracy Result.png

Comparison of Test Accuracy Result - Test Tunned Accuracy Result.png

 
 

Comparison of Validation Accuracy Result - Validation Tunned Accuracy Result.png

Comparison of Validation Accuracy Result - Validation Tunned Accuracy Result.png

 
 

Eda AYDIN - Optional Project 2 - Report.pdf

Eda AYDIN - Optional Project 2 - Report.pdf

 
 

LICENSE

LICENSE

 
 

OP2.2_Prediction_of_the_Different_Progressive_Levels_of_Alzheimer's_Disease_with_MRI_data.ipynb

OP2.2_Prediction_of_the_Different_Progressive_Levels_of_Alzheimer's_Disease_with_MRI_data.ipynb

 
 

Optional Project - 2 (Addition - Feature Cross).ipynb

Optional Project - 2 (Addition - Feature Cross).ipynb

 
 

README.md

README.md

 
 

Relationship between B5 Neuropsychiatric Inventory Questionnaire Features - Sex - Alzheimer Impairment Level.png

Relationship between B5 Neuropsychiatric Inventory Questionnaire Features - Sex - Alzheimer Impairment Level.png

 
 

Relationship between Different Total Volume (cc) Features - Sex - Alzheimer Impairment Level.png

Relationship between Different Total Volume (cc) Features - Sex - Alzheimer Impairment Level.png

 
 

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OP2 - Prediction of the Different Progressive Levels of Alzheimer's Disease with MRI data

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This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

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data-science machine-learning deep-learning tensorflow neural-networks logistic-regression keras-neural-networks chi-square-test random-forest-classifier xgboost-classifier lightgbm-classifier smote-oversampler anova-analysis catboost-classifier multi-layer-perceptron-classifier

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