This repository is included artificial intelligence, machine learning, data science, computer vision projects related to healthcare.
- Breast Cancer Classification: The aim of this project is classification the tumors into malignant or benign with machine learning techniques.
- Detecting COVID-19 with Chest X-ray using PyTorch: The aim of this project is detection COVID-19 on the chest x-ray images by using PyTorch. The dataset is taken from Kaggle.
- Diabetes Prediction with PySpark MLLIB: The aim of this project is to build logistic regression model using PySpark MLLIB to classify patients as either diabetic or non-diabetic. This project is a Guided project(Link) available on Coursera.
- Heart Failure Data Analysis: The aim of this project is to make a detailed exploratory data analysis on the Heart Failure Prediction dataset which is taken from Kaggle by using the plotly library.
- Relationship between COVID-17 & Happiness in that Country: The aim of this project is to work on whether where is any relationship between the spread of the coronavirus in a country and how happy people are living in that country or not. The dataset is taken from COVID-19 dataset published by Johns Hopkins University and World Happiness Report.
- DNA Classification Project: The aim of this project is to find out whether the DNA sequence is the promoter.
- Heart Disease Classification Project: The aim of this project is to predict the condition of her/his disease throughout a classification algorithm based on a neural network. The dataset is taken from UCI Machine learning Respiratory.
- Diagnosing Coronary Artery Disease Project: The aim of this project is to predict the condition of her/his disease throughout a classification algorithm based on a neural network.
- Breast Cancer Detection: The aim of this project is to predict the breast cancer from a digitized image of a fine needle aspirate (FNA) of a breast mass.