myoussef885 Goto Github PK
Name: Mohamed Youssef
Type: User
Name: Mohamed Youssef
Type: User
Welcome to BrainBoost, our e-learning website prototype! BrainBoost is the ultimate destination for learning in-demand tech skills.
The "Breast Cancer Classification using Neural Networks" project focuses on predicting the presence of breast cancer using deep learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and implementing neural networks.
This project aims to detect cars in traffic images using PyTorch, matplotlib, NumPy, and OpenCV (cv2). The detection model is implemented using a deep learning approach and trained on a dataset of traffic images.
This project focuses on detecting cars in traffic images using Python, OpenCV, NumPy, and other libraries. The implementation is done in Google Colab, making it accessible and easy to run for anyone interested in understanding or utilizing the code.
The "Car Price Prediction" project focuses on predicting the prices of cars using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Lasso regression, and Linear regression, this project provides a comprehensive solution for accurate price estimation.
The "Diabetes Prediction" project focuses on predicting the likelihood of an individual having diabetes using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and Support Vector Machines (SVM), this project offers a comprehensive solution for accurate classification.
The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, Random Forest Regressor, and others, this project provides a comprehensive solution for accurate price estimation.
The "Heart Disease Prediction" project focuses on predicting the presence of heart disease in individuals using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, and Scikit-learn (sklearn), this project provides a comprehensive solution for accurate disease prediction.
The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, and XGBoost, this project provides an end-to-end solution for accurate price estimation.
This project is a simple license plate detection system implemented in Python using OpenCV, EasyOCR, and Matplotlib libraries.
This project focuses on predicting the approval or rejection of loan applications using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and Seaborn, this project provides an end-to-end solution for loan status prediction.
This is a repo that contains introductory topics in machine learning, very summarised.
The "Rock vs. Mine Prediction" project focuses on predicting whether an underwater object is a rock or a mine using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and logistic regression, this project provides an end-to-end solution for accurate classification.
Machine Learning Powered Stock Market Trading Bot
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.