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Kalthom Musa's Projects

breezapp icon breezapp

The Breez application aims to develop a smarter way to easily manage home devices. The app will connect to home devices (from different brands) through the hub, and the user will have full control, monitor and automation of his/her home devices from outside through the app.

face-mask-application icon face-mask-application

Develop a custom classifier with PyTorch and transfer learning techniques to recognize face masks, and then deploy it as a web application using Code Engine on IBM cloud.

finding-donors-for-charityml icon finding-donors-for-charityml

Project-1 of Udacity's Introduction to Machine Learning with TensorFlow Nanodegree. "Finding Donors for CharityML" is a Supervised Learning Project with Scikit-learn that aims to build a model that accurately predicts whether an individual earns more than $50,000

flower-image-classifier icon flower-image-classifier

Project-2 of Udacity's Introduction to Machine Learning with TensorFlow Nanodegree. "Flower Image Classifier" is a Deep Learning Project with TensorFlow that aims to build a Keras model that accurately predicts the type of a particular flower among 102 different flower types, and then converts the developed image classifier into a command-line application.

gel-electrophoresis-image-classification icon gel-electrophoresis-image-classification

By comparing the performance of 24 custom trained models with various configurations, I aim to identify the most effective model architecture and configuration for accurate gel electrophoresis image classification.

identify-customer-segments icon identify-customer-segments

Project-3 of Udacity's Introduction to Machine Learning with TensorFlow Nanodegree. "Identify Customer Segments" is an Unsupervised Learning Project with Scikit-learn that aims to identify segments of the population that form the core customer base for a mail-order sales company in Germany.

logs_analysis_project1 icon logs_analysis_project1

It is a database reporting tool that used complex SQL queries in order to answer questions that analyze a site's user activity.

stop-signs-application icon stop-signs-application

Develop a custom classifier with PyTorch and transfer learning techniques to recognize stop signs, and then deploy it as a web application using Code Engine on IBM cloud.

style-transfer icon style-transfer

A re-implementation of a style transfer method with deep neural networks in PyTorch.

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