ml-forecasting-aws-spot-price

A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

Fully automated provisioning of AWS EC2 Spot Instances for Deep Learning workloads using Terraform.

A curated list of cloud pentesting resource, contains AWS, Azure, Google Cloud

Pipeline training and inference Anomalib models UI in Anomaly Detection

This repository contains Spark, MLlib, PySpark and Dataframes projects

My GitHub blog: things you might be interested, and probably not...

A batch processing data pipeline, using AWS resources (S3, EMR, Redshift, EC2, IAM), provisioned via Terraform, and orchestrated from locally hosted Airflow containers. The end product is a Superset dashboard and a Postgres database, hosted on an EC2 instance at this address (powered down):

Real Time Twitter Sentiment Analysis Product

Trendyol Smartphone Price Prediction