Rajat Ghosh's Projects
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Answers to 120 commonly asked data science interview questions.
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.
repository for statistical utility functions
Anomaly detection related books, papers, videos, and toolboxes
Code samples related to "Creating a Question and Answer Bot with Amazon Lex and Amazon Alexa", published on the AWS AI Blog. QnABot (pronounced “Q and A Bot”), uses Amazon Lex and Amazon Alexa to provide a conversational interface to your “Questions and Answers”, so users can just ask their questions and get quick and relevant answers.
This workshop shows how you can use an IP-based machine learning algorithm with Amazon SageMaker to augment and enrich findings from AWS Security services such as Amazon GuardDuty. You'll learn how to load the notebook in SageMaker, train the model, and score findings to determine abnormality of the activity.
A collection of the latest AWS Security workshops
Hands on labs and code to help you learn, measure, and build using architectural best practices.
NLP Project for Disaster Tweet Recognition (LEVEL STUDENT)
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
Collectd-web is a web-based front-end for RRD data collected by collectd
Set up a modern web app by running one command.
create-replace-update-delete app
Data Analytics Week at the AWS Loft
Workshop and sample code that builders can use for experiential learning of AWS services that provide data protection. Services such as AWS KMS, AWS ACM, AWS CloudHSM and others will be explored
disposable repo for today's lecture
Demo for the project
Notebooks for learning deep learning