Amédée DERA's Projects
My personnal portfolio website
ChatBot
📱 ✅ Some awesome projects in python! 📱 ✅
Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your personal computer!
Brain-Computer interface stuff
Simple setup d'un blog en utilisant Django en back et VueJs en front. Un connecteur GraphQL (Graphene-django pour le back et ApolloGraphQL pour le front) a été utilisé comme api pour la communication des données.
Chat Bot devéloppé et implémenté dans le cadre du ITAUN-Challenge 2021
A deployment ready web app to showcase your coding portfolio.
3 phase project that trains a classifier for covid-19 twitter data. (Bag-of-words, SVM, Feature Engineering)
A list of developer portfolios for your inspiration
Application hybride de gestion d'annonces
Faso-Littéra est une plate-forme web dédiée au domaine de la littérature au Burkina Faso. C'est un projet libre et ouvert à toute contribution, suggestion et/ou apport.
🚀✨ Help beginners to contribute to open source projects
Desenvolvimento de uma aplicação em React Native, com um intuito de um e-commerce para venda de frutas, com geração e compartilhamento de PDF.
Application desktop de gestion de stock conçu en Python avec KivyMD
Ethereum's Automation Protocol
Projet de gestion d'Etudiants en C
Petite application console en java pour la gestion des anciens diplômés.
Application desktop de gestion de la programmation des devoirs
Google Cloud Run sample with go
Instagram private API in Go
Simple Restfull API in Go
Neural Network for Go.
Petite application de tracer de graphe
Projet soumis au hackhaton de la semaine du numérique 2020
This notebook looks into using various Python-based machine learning and data science libraries in an attempt to build a machine learning model capable of predicting whether or not someone has a heart disease based on their medical attributes.
This project analyzes health data to predict heart disease. We explore, preprocess, and build ML models like KNN, SVM, Decision Trees, and Random Forest. Future plans include adding features, deploying in healthcare, and optimizing the model. Contributions welcome!