/ML-Projects

Primary LanguageJupyter Notebook

Project Description

Heart Attack Analysis & Prediction

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 Segmenation

After preprocessing the data, clustering algorithms such as K-Means and Agglomerative were utilized for customer segmentation.

Other Projects

Breast Cancer Segmentation (Link)

• 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