Lists (1)
Stars
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…
A curated list for DevOps learning resources. Join the slack channel to discuss more.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
compilation of jupyter notebooks containing coding practices
Functions' cat bag for Machine Learning projects
Deploy your Deep learning container algorithms on Amazon Sagemaker. I have deployed Tensorflow based container trained on the famous titanic dataset.
Workshop content for Getting Started with Amazon SageMaker
Recommendation Systems With TensorFlow Recommenders and AWS SageMaker
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Tensorflow Recommenders with Example on Retail Data
Product Recommendation Using XGBoost
A _simple_ starter template for Snowflake Cloud Data Platform
dheerajbhavsar / MuleSoft-1
Forked from AlexanderLeenus/MuleSoftCurated List of MuleSoft
C++ Client Libraries for Google Cloud Services
Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT
Data Structures and Algorithms Coursera Specialization from UC San Diego and HSE
Big Data for Data Engineers Coursera Specialization from Yandex
Study Notes for the Google Cloud Architect Certification.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Implementation of Algorithms and Data Structures, Problems and Solutions
Some Jupyter notebooks on quantum mechanics
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
General Assembly's 2015 Data Science course in Washington, DC
machine learning/artificial intelligence notes