You can watch this presentation in which I explained different parts and challenges of this project.
• Implemented a U-Net model for detection and segmentation of breast cancer using breast ultrasound images
Covid-19 detection using chest X-ray images (Link)
• After preprocessing the X-ray images, a VGG16 model was utilized to classify the Covid-19 images
Heart Attack Analysis & Prediction (Link)
• Performed EDA and applied classification algorithms such as Logistic Regression, KNN, Decision Tree, and SVM to detect if a person is prone to a heart attack
Mall Customer Segmentation (Link)
• After preprocessing the data, clustering algorithms such as K-Means and Agglomerative were utilized for customer segmentation