labrijisaad

Analyzing-and-Forecasting-a-Time-Series-with-Python

The main objective of this project was to study a time series to approach and manipulate abstract notions that we have seen during the course on time series class. Among the things we did in this project: the decomposition of the series, the study of each component, the stationarity test, the choice of the degree of the model, the learning of the latter and the forecast of future values ​​and much more...

Car-Price-Prediction

Car Price Prediction

Car_Renting_Application_with_Spring-Boot

The car rental management system can be used by companies that manage a car rental project, note that this project only runs on a local machine, but can be modified to run on multiple machines simultaneously for more high efficiency and to serve the whole company.

Git-Clustering

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

Kedro-Energy-Forecasting-Machine-Learning-Pipeline

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, and deployment of models, including XGBoost, LightGBM and Random Forest, with built-in visualization and logging features for effective monitoring.

LLM-RAG

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

Monthly-Daily-Energy-Forecasting-Docker-API

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 Machine Learning Engineering workflow, from initial analysis to a deployable API packaged with Docker.

Prediction-du-cours-de-Bourse

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

Twitter-Sentiment-Analysis-with-Python

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 performance of these classifiers is then evaluated using accuracy and F1 scores.

Youtube-video-transcriptor

In this notebook, I implemented a script to transcribe YouTube videos (and audio files in general) using Google's speech-to-text API.

labrijisaad/Youtube-video-transcriptor

In this notebook, I implemented a script to transcribe YouTube videos (and audio files in general) using Google's speech-to-text API.

labrijisaad/LLM-RAG

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

labrijisaad/Twitter-Sentiment-Analysis-with-Python

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 performance of these classifiers is then evaluated using accuracy and F1 scores.

labrijisaad/labrijisaad

LABRIJI Saad's Profile Page README.md

labrijisaad/Prediction-du-cours-de-Bourse

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

labrijisaad/Kedro-Energy-Forecasting-Machine-Learning-Pipeline

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, and deployment of models, including XGBoost, LightGBM and Random Forest, with built-in visualization and logging features for effective monitoring.

labrijisaad/Data-warehousing-in-Azure-postgreSQL

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 via a Jupyter Notebook, showcasing efficient data management and cloud database integration.

labrijisaad/EXAMEN-DATA-ENGINEERING

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

labrijisaad/Language-Identifier-SVM

Language identification script that can detect the language of a given text. Currently supports Swahili, Wolof, French, English, Arabic, and Dyula. Customizable language support.

labrijisaad/Dimension-Reduction-Clustering-Data

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

labrijisaad/Git-Clustering

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

labrijisaad/Monthly-Daily-Energy-Forecasting-Docker-API

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 Machine Learning Engineering workflow, from initial analysis to a deployable API packaged with Docker.

labrijisaad/Sentiment-analysis-on-the-Quran-Karim-dataset

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 accurately classify the sentiment of each text sample in the dataset.

labrijisaad/DevEnvConfigurations

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

labrijisaad/DimReduce-HealthAnalytics

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

labrijisaad/Technical-Test-NLP-Category-Correction

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

labrijisaad/working-with-cassandra

In this repository, I covered the basics of Cassandra 🧿

labrijisaad/working-with-mongodb

In this repository, I covered the basics of MongoDB 🥭

labrijisaad/Apache-beam-k-means

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

labrijisaad/AXA-Direct-ML-Apprenticeship

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

labrijisaad/Chefclub-Data-Internship

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

labrijisaad/Optimal-K-in-K-Means-Clustering

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

labrijisaad/Technical-Test-AXA-Direct-Assurance

Data Science Technical Test Solution.

labrijisaad/unsupervised-learning-project

In the class project related to unsupervised learning.

labrijisaad/ClusterLLM

LLM guided text clustering

labrijisaad/DeepMoji

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

labrijisaad/few-shot-clustering

labrijisaad/first-Android-app

Here is the source code for our first inclass Android app.

labrijisaad/ml-learning-app

labrijisaad/Mnist-Deep-Learning-Project

his repository is dedicated to tackling three distinct problems using deep learning techniques on the Mnist dataset.