Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by sayedgamal99
A curated list of projects in awesome lists by sayedgamal99 .
https://github.com/sayedgamal99/problem-solving
A collection of solutions to coding challenges and other problems from LeetCode and various platforms, organized with a topic structure directory for easy navigation, and featuring readable code for each solved problem.
Last synced: 04 Dec 2024
https://github.com/sayedgamal99/intro-to-algorithms
This is algorithms book related repository. Contains explanation for the topics I understand from this book, summaries for each chapter and problems solution.
Last synced: 04 Dec 2024
https://github.com/sayedgamal99/data-science
This is a repository for Data Science Projects.
data-analysis data-science deep-learning machine-learning python regression supervised-learning
Last synced: 04 Dec 2024
https://github.com/sayedgamal99/titanic-survival-prediction-advanced-techniques
This project aims to predict the survival rates of passengers aboard the Titanic using the Titanic dataset. The analysis follows a structured approach, encompassing data exploration, preprocessing, feature engineering, creative modeling, and evaluation.
Last synced: 04 Dec 2024
https://github.com/sayedgamal99/microscopic-medical-parasitology-classification
This repository focuses on classifying microscopic images of parasites using deep learning. It features a dataset of 15 parasitic classes, enhanced by Keras's image preprocessing and transfer learning with ResNet. The project aims to improve diagnostic capabilities in medical parasitology and has achieved great results in competitive evaluation.
Last synced: 04 Dec 2024
https://github.com/sayedgamal99/algorithms
This repository is implementations for common algorithms in python
Last synced: 04 Dec 2024
https://github.com/sayedgamal99/digit-recognizer-app
This project implements a Convolutional Neural Network (CNN) to classify handwritten digits from the MNIST dataset. The trained model is deployed as a web application using Streamlit, allowing users to interactively upload images of handwritten digits and receive real-time predictions.
Last synced: 04 Dec 2024
https://github.com/sayedgamal99/predicting-bank-customer-churn-using-machine-learning
This repository contains a machine learning project aimed at predicting whether a bank customer will churn (close their account) based on various features such as credit score, age, tenure, account balance, and product usage.
docker flask machine-learning sklearn xgboost-classifier
Last synced: 26 Nov 2024