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Hi 👋, I'm Aiyub.

A Jr. AI Engineer @ HawkEyes Digital Monitoring Limited.

mdaiyub

mdaiyub

aiyubal13916547

  • 🔭 I’m currently working on Research Project

  • 🌱 I’m currently learning scikit-learn, SciPy, Tensorflow, Pytorch, GridSearchCV

  • 👯 I’m looking to collaborate on Cancer Detection & Prediction

  • 🤝 I’m looking for help with Deep Learning

  • 💬 Ask me about Machine Learning & Deep Learning

  • 📫 How to reach me [email protected]

  • ⚡ Fun fact I'm funny xD!

Connect with me:

aiyubal13916547 aiyub-mohammad-ali-b60173196 mdaiyub md.aiyub.942 md.aiyub.942 aiyub

Languages and Tools:

c cplusplus java mysql opencv python pytorch rust scikit_learn tensorflow

mdaiyub

 mdaiyub

mdaiyub

Md. Aiyub Ali's Projects

basic-java icon basic-java

To know basic about object-oriented programming language in JAVA.

big-data-lab icon big-data-lab

This repository serves as a hub for students, researchers, and enthusiasts interested in diving deep into the realm of big data.

brain-tumor-grading icon brain-tumor-grading

I extracted the tumor features according to the data annotation of all four stages of 3D MRI data. And I deployed Graph Neural Networks based on important features such as First Order Statistics, Shape-based (3D), Shape-based (2D), GLCM, GLRLM, GLSZN, NGTDM, and GLDM.

cas-gnn icon cas-gnn

Cascade Graph Neural Networks for RGB-D Salient Object Detection (ECCV20)

codeforces icon codeforces

Codeforces is a website that hosts competitive programming contests.

covid-19-detection icon covid-19-detection

The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.

deeplearning.ai icon deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + data (without solution) and video link

diabetes-prediction icon diabetes-prediction

Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.

feature-selection-strategies icon feature-selection-strategies

In these works, I'm looking forward to techniques on how we can select the features that will get more our machine learning algorithm accuracy.

heart-disease-prediction icon heart-disease-prediction

Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease, heart rhythm problems (arrhythmia), and heart defects you’re born with (congenital heart defects), among others.

hotel-management-system-using-algorithm icon hotel-management-system-using-algorithm

A hotel Management System is an algorithm-based application that allows the hotel manager to handle all hotel activities. The project provides room booking, staff management and other necessary hotel management features

house-price-prediction icon house-price-prediction

Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.

koala-detection icon koala-detection

Object detection is a major area of computer vision applications. For the task I utilized a set of images that contain instances of Koala. The goal is to preprocess the images and build a dataset, train an object detection model using the prepared dataset, and develop an API for getting inferences from the model.

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