yassinessadi

yassinessadi's Stars

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX50.3k5622044.9k

• darija-open-dataset/dataset

  darija <-> english dataset

  3021084106

• yassinessadi/Docker_initialization

  This is a simple docker initialization

  Language:Python130

• Hammilidi/public_transport_automation

  710

• Hammilidi/Public_Transport_Databricks

  Ce projet vise à collecter, transformer et gérer les données de transport public en utilisant les services Azure tels que Azure Data Lake Storage Gen2 et Azure Databricks.

  Language:Jupyter Notebook610

• yassinessadi/system-big-data-movies-fr

  Language:Jupyter Notebook5100

• Hammilidi/calculator

  Language:Python410

• Hammilidi/ETL_Dependant_DataMarts

  Language:Jupyter Notebook4101

• Hammilidi/ETL_OLAP_Cube

  Language:Jupyter Notebook410

• Hammilidi/Medical-Data-Visualizer

  Language:Jupyter Notebook410

• Hammilidi/OLAP_Cube

  Language:TSQL410

• Hammilidi/Sales_Dashbord

  4

• Hammilidi/tSQLt

  Language:TSQL410

• Hammilidi/VilleFutureAzure

  410

• yassinessadi/movie-recommendation-als-spark

  EC-JANE Entertainment launches an innovative film recommendation project utilizing MovieLens data. This project aims to incorporate Big Data analysis and machine learning to enhance movie suggestions, leveraging Apache Spark, Elasticsearch, and a Flask API to provide a personalized and dynamic user experience.

  Language:Python421

• Hammilidi/Carte_De_Ville

  3100

• Hammilidi/Jobs

  310

• Hammilidi/ML_Diabete

  310

• Hammilidi/ML_Template

  310

• Hammilidi/MNIST_Classifier

  310

• Hammilidi/pySparkTuto

  Language:Jupyter Notebook310

• Tarifi-Hicham/Tarifi-Hicham

  3100

• yassinessadi/Hadoop-Cluster-Setup

  this project focuses on setting up Hadoop on a clustered environment, enabling the configuration across multiple nodes for enhanced performance and scalability.

  Language:Python30

• yassinessadi/movies-realtime-analysis

  This project aims to develop a system capable of analyzing movie reviews in real-time using Kafka for data stream management and Memgraph for the graph database.

  Language:Jupyter Notebook3100

• MEZ901/architectify

  A CLI tool for effortlessly scaffolding out project structures in various frameworks and architectures.

  20

• mohamedchkir/Order-verse

  Dans le cadre de ce projet, nous allons développer une plateforme de commerce électronique basée sur une architecture microservices en utilisant Java. L'objectif est de créer une application scalable, robuste et hautement performante pour offrir une expérience utilisateur optimale. ​

  Language:Java20

• aminelfaquiri/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python100

• mohamedchkir/S3CUR1TY

  Language:Java110

• mohamedchkir/S3CUR1TY-ANGULAR

  L'objectif de cette deuxieme phase du projet et de consommer le backend du projet S3CUR1TY, L'application Angular doit intégrer les mécanismes de sécurité fournis par Spring Security, notamment l'utilisation de guards, intercepteurs et resolvers. ​

  1

• yaserrati/qr-code-generator

  Python script for generate qr code with your logo

  Language:Python110