Hari Hara Sudhan's starred repositories
udemy-docker-mastery
Docker Mastery Udemy course to build, compose, deploy, and manage containers from local development to high-availability in the cloud
recommenders
Best Practices on Recommendation Systems
LibRecommender
Versatile End-to-End Recommender System
dockerized-pytest-course
LinkedIn Learning course covering Python Unit Test with Pytest, Docker, and TDD principles
All-Things-Postman
A selection of examples using Postman REST Client
stores-rest-api
An items, stores, and authentication REST API from the REST API course
rest-apis-flask-python
Projects and e-book for our course, REST APIs with Flask and Python
python-refresher
A Python refresher section for all our courses
low-level-design-concepts
Code Samples to understand SOLID design principles and Design Patterns in JAVA.
Learning-Projects
All the learning projects code from Metaschool website.
fabric
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.
Hyperledger-Fabric-Tutorial
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications.
formula1-datasets
Datasets & Analyses for Formula 1 World Championship
nyc-open-data-project
Data Engineering project to track NYC data for eviction rates
data-engineering-practice
Data Engineering Practice Problems
demo-news-recommendation
Exploring News Recommendation With Neo4j GDS
demo-news-recommendation
Exploring News Recommendation With Neo4j GDS
supply-chain-demo
Neo4j Supply Chain Demo
astronomer-providers
Airflow Providers containing Deferrable Operators & Sensors from Astronomer
paysim-demo
Generate network graphs of virtual mobile money networks including simulating some bad apples
osmi-survey-graph
2016 OSMI Survey results in Neo4j
Kaggle-Titanic
Intro into doing a kaggle competition with all the necessary data science tools and techniques.