Name: Luis Fernando Salazar Salinas
Type: User
Bio: Biologist and Data Scientist.
Interests: Data science, Machine Learning, Deep Learning, MLOps, Computer vision, NLP, AI, Python.
Twitter: luisfe819
Blog: https://twitter.com/home
Luis Fernando Salazar Salinas's Projects
This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.
Freelancer Project - Batch processing data pipeline and machine learning application.
Google Cloud Platform Certification resources.
A topic-centric list of HQ open datasets.
Machine Learning University: Accelerated Computer Vision Class
Azure Data Engineering Cookbook 2nd-edition, published by Packt
test repository to becat faqs chabot project
Repositorio que utilizaremos en el bloque de "Diseño y Estrategias para la puesta en producción de soluciones basadas en IA"
Cardiovascular disease dataset analysis for Data Science for Health (COSC 89.20)
Telco Customer Churn Detection App build with XGBoost, FastAPI, Docker and Streamlit
👾 Open source implementation of the ChatGPT Code Interpreter
Corn leaf diseases detection App built with Tensorflow, Keras and Streamlit
Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.
Data Engineering with Python, published by Packt
Collection of useful data science topics along with code and articles
Code examples and resources for DBRX, a large language model developed by Databricks
DevOPs Final Project
Azure Data Engineer Associate Certification Guide, published by Packt
Example Of Data Warehouse pipeline with Airflow
End-to-end ELT data engineering project
Stream processing pipeline from Finnhub websocket using Spark, Kafka, Kubernetes and more
Credit Card Transaction Fraud Detection App built using XGBoost, FastApi, Streamlit and Docker
1 config, 1 command from Jupyter Notebook to serve Millions of users