Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Getting Started Terraform | 518 | 8 months ago | mit | HCL | ||||||
Exercise files for my Pluralsight course | ||||||||||
Agile_data_code_2 | 435 | a year ago | 7 | mit | Jupyter Notebook | |||||
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition | ||||||||||
Aws Csa 2019 Study Notes | 218 | 3 years ago | 1 | mit | ||||||
My Study Notes for the AWS Certified Solutions Architect - Associate 2019 | ||||||||||
Amazonsagemakercourse | 210 | 7 months ago | 7 | other | Jupyter Notebook | |||||
In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyperparameter Tuning | ||||||||||
Deep Dive Terraform | 180 | 9 months ago | 4 | HCL | ||||||
Exercise files for my Pluralsight course. | ||||||||||
Course Aws Certified Developer Associate | 163 | 6 months ago | 12 | HTML | ||||||
AWS Certified Developer Associate course | ||||||||||
Amazon Sagemaker Architecting For Ml | 143 | 4 years ago | 4 | mit | Jupyter Notebook | |||||
Materials for a 2-day instructor led course on applying machine learning | ||||||||||
Course_aws_certified_machine_learning | 129 | a year ago | mit | Jupyter Notebook | ||||||
Devops Essentials | 125 | 4 years ago | 9 | mit | HTML | |||||
Source code samples for DevOps Essentials on AWS Complete Video Course | ||||||||||
Content Aws Certified Data Analytics Speciality | 97 | a year ago | 21 | Jupyter Notebook | ||||||
DAS-C01 ACG/LA by Brock Tubre and John Hanna |