DereAbdulhameed

DereAbdulhameed's Stars

• vanya2v/Reverse_Classification_Accuracy

  Reverse Classification Accuracy for predicting segmentation performance in the absence of ground truth

  Language:Python61

• saheedniyi02/Llama3-8b-Naija_v1

  Language:Jupyter Notebook292

• Queens-Radiology-Intro-To-AI/Intro-to-AI

  Queen's Radiology Introduction to Artificial Intelligence for Residents

  Language:Jupyter Notebook64

• HealthStack01/Frontend

  Language:JavaScript10911

• ml4a/ml4a-ofx

  A collection of openFrameworks apps for working with machine learning

  Language:C++1.2k278

• DereAbdulhameed/Hamoye-Projects

  Basics of a Machine Learning Pipeline. Cleaning, wrangling, exploring, and providing summary statistics on a data regarding electricity consumption.

  Language:Jupyter Notebook1

• udacity/DL_PyTorch

  Code for the Deep Learning with PyTorch lesson

  Language:Jupyter Notebook361370

• udacity/deep-learning-v2-pytorch

  Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

  Language:Jupyter Notebook5.3k5.3k

• ivy-llc/ivy

  Convert Machine Learning Code Between Frameworks

  Language:Python14k5.7k

• NannyML/nannyml

  nannyml: post-deployment data science in python

  Language:Python2k146

• DereAbdulhameed/Mental-Illness-Prediction

  A sole research carried out to evaluate markers responsible for the rise in mental health illness among medical students in the University of Ilorin. Built and deployed the model, by creating a simple diagnostic app using streamlit.

  Language:Jupyter Notebook44

• DereAbdulhameed/Covid19_Vaccine_Degradation_Prediction

  The world is fighting covid. Health practitioners and scientist are on the quest to get a vaccine. This notebook aims to explore the rate of degradation of certain components of vaccine to determine its feasibility of going worldwide.

  Language:Jupyter Notebook1

• DereAbdulhameed/Finacial-Inclusion-Zindi-Competition

  This is a classification model that predicts whether or not a person will likely open a bank account. The model is with 85% accuracy. Participated as a Data Scientist from University of Ilorin Nigeria.

  Language:Jupyter Notebook1

• Abuton/Heart_Model_Deployment

  Language:Jupyter Notebook2

• DereAbdulhameed/Heart_Model_Deployment

  As a medical student, one of the ravaging problems patient come to complain with is heart disease. This model makes a prediction of whether or not a person is liable to having a heart disease based on some clinical features. The accuracy is 89% though.

  Language:Jupyter Notebook31

• Abuton/code-squad-project-course-work

  A repository for the trainee @ codesquad. This repository contains projects that will be executed by trainees to certify that they have master what has been taught to them

  Language:Jupyter Notebook43