Giter VIP home page Giter VIP logo

About Me

👋 I'm Issam ECH-CHAOUI, a Data Scientist and a Master of Engineering student at INSEA. 📚 I am passionate about applying data science to solve real-world problems and create value for businesses and society.

💼 During my internships at AttijariWafa Bank and the Ministry of Agriculture, I worked on projects involving data analysis, machine learning, natural language processing, and computer vision, using Python and various frameworks and tools. 📊 I developed models for predicting energy consumption, 📜 generating advertising slogans in Darija, and 🌿 detecting crop diseases, among others.

📚 I have also completed multiple online courses and certifications, and 🏆 participated in hackathons and competitions to enhance my skills and knowledge in data science. I have a keen interest in deep learning techniques and their applications in various domains, such as NLP and CV.

🌟 I am always eager to learn new things, 🤝 collaborate with others, and contribute to the data science community. 👨‍💻🌐

GitHub Stats 📊

Top Langs GitHub Streak

Views

watching_count

Issam ECH-CHAOUI's Projects

forecasting-temperature-using-time-series icon forecasting-temperature-using-time-series

Les analyses prédictives dont on situe les séries temporelles ont fait l’objet d’une grande attention au cours des dernières années dans divers domaines. Dans le domaine de la météorologie, l’amélioration remarquable de la qualité des prévisions météorologiques est un des grands succès de la science de l’environnement aux 20e siècle. Ce projet vise à construire un modéle capable de predire la température mensuelle à RABAT. On a suivi une approche de série temporelles en utilisant les modèles AR, MA, ARIMA et SARIMA pour établir d’abord des prédictions des températures, ensuite on applique la méthode de Box et Jenkins afin de trouver le modéle adéquat, ceci est faite en suivant une stratégie classique qui se commence par identification du modèle, puis estimation , validation et Prévision. Enfin, avec cette étude on a pu identifier et choisir la bonne modélisation pour notre série temporelle ainsi que différentes méthodes d’évaluation des modèles et le listage de chaque procédure d’analyse statistique et l’interprétation des résultats obtenus.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.