HealthyData's repositories
Diagnosis-of-Breast-Cancer
To utilize the Breast Cancer Wisconsin Dataset for machine learning purposes. The aim is to diagnose breast cancer by employing a supervised binary, distance-based classifier (K Nearest Neighbours), which will classify cases as either benign or malignant.
IBM-Data-Science-and-Machine-Learning-Capstone-Project
This repository contains my capstone project for the IBM Data Science and Machine Learning Professional Certificate program. The project showcases my skills in data science and machine learning, including data collection, preprocessing, analysis, and modelling. The goal of the project is to solve a real-world problem using data-driven techniques.
Predicting-Sentiment-Based-on-Drug-Product-User-Reviews-for-Informed-Decision-Making-Part-1
Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative
Predicting-Sentiment-Based-on-Drug-Product-User-Reviews-for-Informed-Decision-Making-Part-2
Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative
Predicting-the-Early-Stages-of-Alzheimers-Disease-Part-1
To provide a complete pipeline to develop a deep learning model. More specifically, a multiclass classification (single label) deep learning model that can predict what stage of Alzheimer's a patient is, from their MRI image
Predicting-the-Early-Stages-of-Alzheimers-Disease-Part-2
To provide a complete pipeline to develop a deep learning model. More specifically, deep learning for computer vision (2D). Using a multiclass image classification (single label) deep learning model that can predict what stage (refer below) of Alzheimer's a patient is, from their MRI image. This study will focus on CNN Verus DCGAN (Generative)
The-Impact-of-Covid-19-on-Mental-Health
Research if there’s a demand in mental health cases and/ or, if the general healthcare system was coping during the Covid 19 crisis. The outcome would enable us to make high level decisions on Digital Healthcare