D

data science

https://app.prospect.energy/

Recommend.Games blog: https://blog.recommend.games/

Bahn-Vorhersage - The best Train Delay Prediction System.

Fundamental theory and practice in Data Science (DS). 🧮

Prédiction de la gravité des accidents de la route à partir des données BAAC (ONISR). Projet de data science combinant exploration, modélisation (LightGBM), API FastAPI et interface Streamlit.

Découverte de ce monde (Data / ML) via un projet perso. Basés sur des relevés météo de différentes sources, avec des outils comme Pandas, Dask, Spark, Polars, ..., du ML et du DL. Une couche de visualisation via PowerBI.

Data Science / Machine Learning Pipeline component for training and deploying ML models using CI

The EDA (exploratory data analysis) repository consist of all the EDA related projects based on the real world datasets.

Mirrored to https://gitlab.b-data.ch/r/template.

Mirrored to https://gitlab.b-data.ch/r/packrat-template.

Mirrored to https://gitlab.b-data.ch/r/best-practice.

Mirrored to https://gitlab.b-data.ch/git/gsi and https://github.com/b-data/gsi.

Mirrored to https://gitlab.b-data.ch/r/rsi and https://github.com/b-data/rsi.

Mirrored to https://gitlab.b-data.ch/docker/deployments/traefik and https://github.com/b-data/docker-deployment-traefik.

Mirrored to https://gitlab.b-data.ch/docker/deployments/jupyter and https://github.com/b-data/docker-deployment-jupyter.

Mirrored to https://gitlab.b-data.ch/docker/deployments/gitlab-ce and https://github.com/b-data/docker-deployment-gitlab-ce.

This project implements a Data Analytics and Visualization platform using Apache Superset as the main exploration, dashboarding, and BI layer.

The platform enables users to explore, analyze, and visualize data from multiple structured sources through interactive dashboards, SQL-based exploration, and semantic datasets, supporting both operational and analytical use cases.

TheoryFlow backend's repository.

Provide FRCC DSIR the ability to securely, confidently, and efficiently answer questions informed from our team’s codebases. In places where confidence is low, it should be flagged as low to inform the person interacting with the system.