Miguel Díaz's repositories
apachesparkbogota
Notebooks compartidos en las sesiones del meetup apachesparkbogota
apachesparkmexico
Notebooks compartidos durante las sesiones de la comunidad apache spark méxico
cursosql-mariadb
Curso SQL por diazmiguel.com usando mariadb
freeForGeeks
Stop searching, start building. Free resources for developers.
primerospasosconspark
Taller primeros pasos con spark
bigdatatoolsandcloud
Hace parte de un modulo de la sesion 3 del curso big data tools an cloud
filosofia
Este proyecto busca darle claridad a nuestra organización, definiendo nuestro propósito de una manera concreta.
airflow-site
Apache Airflow Website
DATA-AI-Summit-2022
DATA&AI Summit 2022 highlights
dbrx
Code examples and resources for DBRX, a large language model developed by Databricks
developer-roadmap
Roadmap to becoming a web developer in 2019
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Flutter-Instagram-UI-Clone
Instagram Ui Clone made using Flutter.
identifying_wnv_locations-raw_repo-
The official repo for Project 4, DSI (Team Members: April Griffin, Garth Hogan, Ryan Stewart, Suzanne McGann)
jupytext
Jupyter notebooks as Markdown documents, Julia, Python or R scripts
mapboxgl-in-jupyter
Testing mapboxgl-jupyter by creating a map of health sites in Colombia
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
py
Repository to store sample python programs for python learning
python-docs-samples
Code samples used on cloud.google.com
spark
Apache Spark - A unified analytics engine for large-scale data processing
spark-website
Apache Spark Website
sparkling-titanic
Training models with Apache Spark, PySpark for Titanic Kaggle competition
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
unitycatalog
Open, Multi-modal Catalog for Data & AI