Eslamelreedy

A-Visual-History-of-Nobel-Prize-Winners

Airbnb-Listing-Price-Prediction

Predict and classify Airbnb listing prices in Montreal based on listing characteristics, optimizing user experience and assisting new hosts in determining pricing ranges.

Anti-cancer-activity-prediction

This repository contains the code and resources for predicting the anticancer activity of chemical compounds against non-small cell lung cancer using graph neural networks (GNNs). The task involves building machine learning models to classify chemical compounds based on their graph representations, where atoms are nodes and bonds are edges.

COVID-19-Outcome-Prediction

The data used in this project will help to identify whether a person is going to recover from coronavirus symptoms or not based on some pre-defined standard symptoms. These symptoms are based on guidelines given by the World Health Organization (WHO).

E-Learning

Eslamelreedy

Fashion-MNIST-Classification-using-CNN-Neural-Networks

Fashion-MNIST CNN Classification: Accurately classify clothing images using CNNs. Data preparation, model training, hyperparameter optimization, and comparison with other models. Goal: precise categorization of fashion items through deep learning.

Leaf-Classification-using-MLP-Neural-Network

Leaf Classification using MLP Neural Network is a project that aims to accurately classify different types of leaves based on their image features. Through data preparation, training an MLP neural network, and hyperparameter exploration, the project strives to optimize model performance for effective leaf classification.

shop_app

Wish.com-Product-Rating-Prediction

This repository contains the code and documentation for the Wish.com Product Rating Prediction competition on Kaggle. The goal of this competition is to predict the product ratings given other features known for a product on Wish.com. The dataset provided is a tabular dataset that requires preprocessing before modeling.

Eslamelreedy/Eslamelreedy

Eslamelreedy/shop_app

Eslamelreedy/Wish.com-Product-Rating-Prediction

This repository contains the code and documentation for the Wish.com Product Rating Prediction competition on Kaggle. The goal of this competition is to predict the product ratings given other features known for a product on Wish.com. The dataset provided is a tabular dataset that requires preprocessing before modeling.

Eslamelreedy/A-Visual-History-of-Nobel-Prize-Winners

Eslamelreedy/Airbnb-Listing-Price-Prediction

Predict and classify Airbnb listing prices in Montreal based on listing characteristics, optimizing user experience and assisting new hosts in determining pricing ranges.

Eslamelreedy/Anti-cancer-activity-prediction

This repository contains the code and resources for predicting the anticancer activity of chemical compounds against non-small cell lung cancer using graph neural networks (GNNs). The task involves building machine learning models to classify chemical compounds based on their graph representations, where atoms are nodes and bonds are edges.

Eslamelreedy/COVID-19-Outcome-Prediction

The data used in this project will help to identify whether a person is going to recover from coronavirus symptoms or not based on some pre-defined standard symptoms. These symptoms are based on guidelines given by the World Health Organization (WHO).

Eslamelreedy/E-Learning

Eslamelreedy/Fashion-MNIST-Classification-using-CNN-Neural-Networks

Fashion-MNIST CNN Classification: Accurately classify clothing images using CNNs. Data preparation, model training, hyperparameter optimization, and comparison with other models. Goal: precise categorization of fashion items through deep learning.

Eslamelreedy/Leaf-Classification-using-MLP-Neural-Network

Leaf Classification using MLP Neural Network is a project that aims to accurately classify different types of leaves based on their image features. Through data preparation, training an MLP neural network, and hyperparameter exploration, the project strives to optimize model performance for effective leaf classification.

Eslamelreedy/NewsApp

NewsApp

Eslamelreedy/Reddit-Fake-Post-Detection-by-Looking-Only-at-the-Title-

This project aims to detect fake news on Reddit by analyzing the titles of posts. The model uses machine learning techniques to classify posts as fake or genuine, helping combat the spread of misinformation. The repository contains code, documentation, and Jupyter notebooks detailing the development process. Contributions are welcome.

Eslamelreedy/Speed-Dating-Match-Prediction

This repository contains the code and documentation for the Speed Dating Match Prediction project. The project aims to predict the outcome of speed dating sessions based on the profiles of two individuals, with the goal of developing a recommendation system to enhance matching in speed dating events.