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Création d'un modèle (réseau de neurones) de classification pour la base MNIST sur un chiffre uniquement. En d'autres termes ce modèle pourra nous aider a prédire si X image contient le chiffre ou non
Exploring efficient image compression and decompression techniques for the Pokemon database. This project explores the implementation of CNN and RNN encoders/decoders, aiming to enhance image storage and retrieval. Computing valuable insights related to compression performance and quality metrics.
The purpose of this project is to classify images from the “Natural human face dataset” using a pre-trained deep convolutional neural network (CNN) model such as VGG16, and transfer learning techniques. Only three emotion categories are being used: fear, happiness, and sadness.
This project focuses on conducting a comprehensive data analysis for a Boston-based housing agency. Using a dataset sourced from the U.S. Census Service, the analysis aims to provide valuable insights into housing prices
This project utilizes the KNN classification algorithm to predict the likelihood of a patient developing diabetes. Using data from the National Institute of Diabetes and Digestive and Kidney Diseases dataset to provide insights into diabetes risk assessment.
Exploring and analyzing the dataset to draw meaningful insights. Conducted hypothesis testing, resolved data anomalies, and crafted a predictive model using KNN Classifier. Addressed key questions, such as demographic-based variations in loan status and predicting loan-to-value ratios. Ensured data integrity for informed decision-making.
Flutter app that helps hourly workers keep tabs on their earnings effortlessly. Whether you're calculating your income per second or setting financial goals, this app has you covered. You can tweak your hourly pay rate whenever needed and get real-time updates on your progress.
Revolutionizing Route Optimization with PyGad: An In-Depth Study of the Traveling Salesman Problem
This project is a backend application built with Node.js, Express.js, and MongoDB. It provides a RESTful API for product management. The API allows users to retrieve products with flexibility by using different query parameters.
This project is a simple web application that provides a RESTful API for managing tasks. It utilizes Node.js, Express.js, and MongoDB for the backend implementation. The application allows users to create, read, update, and delete tasks through the provided API endpoints.
In this project, XGBoost is applied to forecast real estate prices using the Boston Housing Dataset. The primary aim is to create an effective predictive model, assess its accuracy through metrics like Mean Absolute Error (MAE), and refine its performance by tuning hyperparameters with HYPEROPT.
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.