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Course 1 : has advanced Image-related projects.
- Chest X-Ray Medical Diagnosis with Deep Learning.
- Evaluation of Diagnostic Models.
- Building U-Net Segmentation Model for 3D images.
- Brain Tumor Auto-Segmentation for Magnetic Resonance Imaging (MRI).
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Course 2 : has advanced Machine learning projects.
- Diabetic Retinopathy prediction using logistic regression and evaluating with risk score.
- lymphoma analysis using Kaplan-Meier estimation.
- Survival data of patients with Primary Biliary Cirrhosis (pbc) Survival model using Cox Proportional.
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Course 3 : has advanced topics for Interpretation and Text Mining.
- Estimating Treatment Effect Using Machine Learning.
- Natural Language Entity Extraction and Question Answering.
- Model Interpretation Methods.