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additional resources
additional resources
 
 
data
data
 
 
description
description
 
 
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pictures_report
 
 
.gitignore
.gitignore
 
 
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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anova-analysiscatboost-classifierchi-square-testdata-sciencedeep-learningkeras-neural-networkslightgbm-classifierlogistic-regressionmachine-learningmulti-layer-perceptron-classifierneural-networksrandom-forest-classifiersmote-oversamplertensorflowxgboost-classifier

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