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followers: 0.0 following: 6.0 repos: 37.0 gists: 1.0

Name: Bayowa

Type: User

Company: Brown Foreman

Bio: A curious cloud enthusiast, Possesses Solid computer programming language and various databases background backed with using latest technologies

Location: London

Blog: https://linkonabe.blogspot.co.uk

Bayowa's Projects

aws-well-architected-labs

Hands on labs and code to help you learn, measure, and build using architectural best practices.

cars-price-predictor

This project shows step by step how to build a machine learning model that can predict the price of a car based on its features by testing many Machine Learning models and comparing between them.

curriculum-app

Create, share, and keep track of your learning curricula. https://studytracker.tech

devops-directive-terraform-course

Companion repo for complete Terraform course

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

docker1

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

documentation

Content for healthcare.ai, old posts, some hosted notebooks

dynamic-filter-

How to create dynamic filtering in data science reports and dashboards

etea (Environment/Thoughts/Emotions/Actions) is an 'R' package that contains functions to classify text into predetermined baskets as a conduit to matrix that can be used as an input into predictive or other analytical modules. This work extends a methodology and code that is attributed to Dr Tim Jurka (timjurka/sentiment).