Covering the basics of SVG as code and HTML elements. In preparation for D3 deep dive
How to query segmented data in AWS Athena and more.
How to correctly pass errors from Lambda to API Gateway to prevent Status 200 responses on errors
Various Lambda examples to reference. Calling DynamoDB and other microservices.
Notes on AWS Glue tables, crawlers etc.
An introduction to AWS Step Functions which is a diagram based system to manage complex state based functions that tie in multiple AWS microservices.
Using AWS EventBridge to schedule automations, and the automations available to us.
Training and Testing XGBoost Algorithm using Sagemaker built in algorithm. Deploy and test model.
Merging Datasets and creating a machine learning model with XGBoost Algorithm
Using Python to manipulate data fields/CSV files/spreadsheets
Train Artificial Neural Networks for Regression Tasks
Multiple Linear-Regression With SageMaker Algorithm
Multiple Linear-Regression metrics and KPI's. Measuring error and accuracy of regression models.
Training a linear learner model in SageMaker Studio with built in algorithms
Using Sagemaker and Sagemaker studio to launch Jupyter notebook instances, build, train and deploy a machine learning model.
Notes on various sagemaker algorithms. Pre-processing, training, validation acceptable data formats etc.
A reference of common general terminology used in Artificial Intelligence/Machine Learning
How to properly configure requests to the Amazon Advertising API. Sample requests in Postman.
Ideal export settings to inline SVG graphics for websites and React components