datascience

Welcome to the "AI_Course_Template" - the basic repository template for students enrolled in the Artificial Intelligence course in the Department of Computer Science. This repository is designed to provide a standardized structure and set of guidelines for student projects, facilitating organized development, easy navigation, and consistent documentation.

Key Features:

Structured directory: Includes predefined folders for data (both raw and processed), source code, tests, and documentation, ensuring a clean and organized project workspace.

Comprehensive README Template: A guide to help students effectively document their project overview, goals, installation process, data descriptions, usage instructions, and contribution guidelines.

Resource Hub: Serves as a central location for essential resources, reference materials, and project-specific instructions.

Collaboration Ready: Configured to support collaborative projects, encouraging students to work together efficiently and share their progress.

Purpose:

This template is designed to streamline the project setup process, allowing students to focus more on the innovative aspects of AI and machine learning, rather than the initial setup and organization. By following this template, students will learn the importance of project organization, clear documentation, and consistent coding practices that are essential for any aspiring AI professional.

Our fork of https://github.com/joao-pampanin/kedro-expectations "Tool to better integrate Kedro and Great Expectations" which supports newer versions of Kedro and Great Expectations, and has integrated some cool new features like Email alerts, delayed failure raising and performance gains.

Este repositorio contiene los dos casos de estudio realizados como parte del Diplomado de Extensión en Data Science. En ambos casos, se utilizaron técnicas de programación en Python y Data Science para analizar conjuntos de datos y extraer información valiosa.

Data evaluation microservice for asynchronously evaluate data in the LARA database

DluOne Data Composer for Data Engineering and Data Science

This is a repo with scripts for Data Science and Engineering quick start with docker

I'm using personally for my daily work and side projects

Trabajas como científico/a de datos para Data Insider, un reconocido equipo de asesores financieros con presencia global, y te ha sido solicitado que elabores un informe detallado para entender de manera objetiva el comportamiento de grandes corporaciones a nivel mundial a partir del año 2015.

R, Python and SQL tutorials for health data science

Data Science Resources

Trying to make a (AI) movies recommendation from scratch by using Cython and Math

A Python tool that generates synthetic data into a PostgreSQL database

A Small Data Analysis Script for the COVID Situation in Austria

Project for my Introduzione al Data Mining's exam at University of Catania. The goal is to find boolean implications between mRNA/proteins in different types of Breast Cancer.

Project for "Metodi Matematici e Statistici" 's exam @University of Catania

A simple project to monitor OSM changesets and find the suspicious ones

Scripts to gather and analyse OSM datas in Iran. 🇮🇷

Set of norms, rules or adequate practices for the development of the project.

A SIMPLE, logical, reasonably standardized, but flexible project structure for doing and sharing data science work.