A Dockerized Streamlit app leveraging a RAG LLM with FAISS to offer answers from uploaded markdown files, deployed on GCP Cloud.

Semantic search using Transformers and others

One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

This repo showcases a project that transforms ML model training into a simplified, production-ready Kedro Dockerized Pipeline. It emphasizes best MLOps practices, enabling easy training, evaluation…

This repository houses an Energy Forecasting API that uses Machine Learning to predict daily and monthly energy consumption from historical data. It's designed as a practical demonstration of a Mac…

Enhanced and Repackaged GIT Clustering: This repository offers an open-source, enhanced version of the GIT (Graph of Intensity Topology) clustering algorithm.

0.0.1

explore the impact of dimensionality reduction on the quality of clustering.

A project showcasing the application of various dimensionality reduction techniques for visualizing and analyzing simulated health diagnostics data in 2D and 3D.

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

Using the Elbow Method and Silhouette Analysis to find the optimal K in K-Means Clustering.

Repository showcasing my Machine Learning Engineering Apprenticeship at AXA-Direct Assurance, contributing to the development and implementation of Machine Learning solutions.

This repo has a Jupyter Notebook for an e-commerce NLP and data manipulation technical test.

Implementing K-means clustering in sequential, streaming, and distributed formats using Apache Beam.

In-class exams for Docker, Git, and ML.

Data Science Technical Test Solution.

🚀 Centralized repository for my customized IDE settings, system configurations, and tech stack preferences. 🛠️

Repository showcasing my Data Engineer / Scientist internship at Chefclub, contributing to data infrastructure enhancement and fostering data-driven insights.

Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.

I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The perfo…

In this repository, I covered the basics of Cassandra 🧿

In this repository, I covered the basics of MongoDB 🥭

This repository contains the basics of dealing with Airflow for orchestration purpose

This repository contains a small project to get started with Kafka

In this project we will build an ETL, and create a pipeline and upload the data into a database

In this notebook, I tried to create a sentiment analysis model for Wolof language.

In this repository, I address missing values in the Prosper dataset using advanced data cleaning techniques. The refined data is then seamlessly uploaded to a pre-configured Azure Postgres Database…

In this notebook, I attempted to create a script that utilizes pre-trained CamemBERT and VaderSentiment models to label the sentiment of a Quran Karim dataset in English and French. My goal was to …

In this notebook, I tried to write a script capable of scraping the Quran Karim in different languages ​​(French, English and Wolof) to have parallel data.