Name: Joseph Eton
Type: User
Company: @Pryalink Innovation Limited
Bio: I love putting data together (Data Engineer), then analyze for insights (Data Analyst), and build models for various productions (Data Scientist).
Location: United Kingdom
Joseph Eton's Projects
15 Math Concepts Every Data Scientist Should Know, published by Packt
Code for "Advanced data transformations in SQL" free live workshop
This repo is for LINKEDIN LEARNING course AI Projects with Python, TensorFlow and NLTK
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A skeleton project for testing Airflow code
This repo is for the Linkedin Learning course: Apache PySpark by Example
This repo is for Linkedin Learning course: Applied Machine Learning: Algorithms [Revision 2024 Q2]
This repo is for linkedin learning course: Applied Machine Learning: Feature Engineering [Revision 2024 Q3]
Pipelines for generating large volumes of anonymous artificial data that share some of the characteristics of real NHS data
A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents
AWS for Bioinformatics Researchers
Ingestion of data
Azure Data Engineering Cookbook, published by Packt
Sample Azure engineering Projects
Big Data Engineering practice project, including ETL with Airflow and Spark using AWS S3 and EMR
BioInformaticEndToEnd reference :dataProfessor
Building Python Web APIs with FastAPI, published by Packt
ChatGPT and Prompt Engineering with Advanced Data Analysis, by Packt Publishing
crime project
Analysis of NYC's citibike data. Technologies: Python , Prefect, dbt, Terraform , Looker data studio
Understanding Cloud Core Concepts
Compilation of R and Python programming codes on the Data Professor YouTube channel.
This is a repository for the LinkedIn Learning course Complete Your First Project in SQL
A vision-language foundation model for computational pathology - Nature Medicine
Cracking Data Engineering Interview Guide, published by Packt
An orchestration platform for the development, production, and observation of data assets.