eljandoubi
I am a Data Scientist, graduated with engineering degree from ENSTA Paris. I also have a master's degree in mathematics, vision, machine learning from ENS Paris
Massy, Île-de-France.
Pinned Repositories
ACPR-BANK-PROFIT-NAVIGATOR
BANK PROFIT NAVIGATOR : Extraction of crucial financial metrics from financial reports.
AI-Photo-Editing-with-Inpainting
A web app that allows you to select a subject and then change its background, OR keep the background and change the subject.
Copilot
Homemade Copilot: Fine-tune LLM through LoftQ initialization and QLoRA-style training for code generation.
DogBreedClassificationAWS
Use AWS Sagemaker to train a pretrained model that can perform image classification by using the Sagemaker profiling, debugger, hyperparameter tuning and other good ML engineering practices.
genre_classification
Create an ML pipeline for Genre Classification using MLflow.
huggingface_image_classifier
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
hybrid-RL-platform
Utilize Reinforcement Learning (RL) to address challenges in the platform environment characterized by a hybrid action space.
Landmark-Classification-Tagging-for-Social-Media
a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.
MADDPG-for-Collaboration-and-Competition
An implementation of MADDPG multi-agent to solve a Unity environment like Tennis and Soccer.
Sparkify
Utilize Apache Spark for ETL processes to prepare data, followed by the construction of a Machine Learning model for Natural Language Processing (NLP) classification. Subsequently, deploy the model within a Gradio web application for seamless interaction.
eljandoubi's Repositories
eljandoubi/AI-Photo-Editing-with-Inpainting
A web app that allows you to select a subject and then change its background, OR keep the background and change the subject.
eljandoubi/DogBreedClassificationAWS
Use AWS Sagemaker to train a pretrained model that can perform image classification by using the Sagemaker profiling, debugger, hyperparameter tuning and other good ML engineering practices.
eljandoubi/Image-Captioning
Uses a CNN Encoder and a RNN Decoder to generate captions for input images.
eljandoubi/Landmark-Classification-Tagging-for-Social-Media
a CNN-powered app to automatically predict the location of the image based on any landmarks depicted in the image.
eljandoubi/MADDPG-for-Collaboration-and-Competition
An implementation of MADDPG multi-agent to solve a Unity environment like Tennis and Soccer.
eljandoubi/ACPR-BANK-PROFIT-NAVIGATOR
BANK PROFIT NAVIGATOR : Extraction of crucial financial metrics from financial reports.
eljandoubi/Airflow-data-pipeline
Airflow data pipeline
eljandoubi/AWS-Data-Warehouse
Build an ETL pipeline for a database hosted on AWS Redshift.
eljandoubi/Breakout-Strategy
Implementation of the Breakout Strategy
eljandoubi/build-ml-pipeline-for-short-term-rental-prices
Build an ML Pipeline for Short-Term Rental Prices in NYC
eljandoubi/Copilot
Homemade Copilot: Fine-tune LLM through LoftQ initialization and QLoRA-style training for code generation.
eljandoubi/genre_classification
Create an ML pipeline for Genre Classification using MLflow.
eljandoubi/huggingface_image_classifier
Fine-tune the Vision Transformer (ViT) using LoRA and Optuna for hyperparameter search.
eljandoubi/Sparkify
Utilize Apache Spark for ETL processes to prepare data, followed by the construction of a Machine Learning model for Natural Language Processing (NLP) classification. Subsequently, deploy the model within a Gradio web application for seamless interaction.
eljandoubi/aws-human-balance-analytics
Using AWS Glue, AWS S3, Python, and Spark, create or generate Python scripts to build a lakehouse solution in AWS
eljandoubi/Azure-Machine-Learning-Engineer
eljandoubi/building-a-reproducible-model-workflow
eljandoubi/CRM-Backend
Simple CRM backend written in Go
eljandoubi/deploy-ml
Deploying a ML Model to Cloud Application Platform with FastAPI
eljandoubi/Dynamic_Risk_Assessment_System
ML Model Scoring and Monitoring
eljandoubi/Face-Generation
Generate new faces using Generative Adversarial Networks (GANs).
eljandoubi/Facial-Keypoint-Detection
In that project, I combined my knowledge of computer vision techniques and deep learning architectures to build a facial keypoint detection system. It was designed to take in any image with faces and predict the location of 68 distinguishing keypoints on each face.
eljandoubi/ice_breaker
eljandoubi/Inventory-Monitoring-at-Distribution-Centers
eljandoubi/multi-cloud
Deploy an app to multi-cloud
eljandoubi/Operationalizing-Machine-Learning-with-AZURE-ML
eljandoubi/Optimizing_a_Pipeline_in_Azure-ML
This project is a component of the Udacity Azure ML Nanodegree. It entails the construction and refinement of an Azure ML pipeline utilizing the Python SDK and a provided Scikit-learn model. The ensuing model is then evaluated against an Azure AutoML run.
eljandoubi/Predict-Customer-Churn-with-Clean-Code
Clean Code Principles
eljandoubi/Server-Deployment-and-Containerization
In this project I will containerize and deploy a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.
eljandoubi/Sudoku
Sudoku-solving agent