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100-days-of-ml-code

100 Days of ML Coding

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

airflow-spark

Docker with Airflow and Spark standalone cluster

all-python-codes-of-ztm-course-by-andrei-neagoie

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

analyzing-tlc-trip-record-data-using-pyspark-and-airflow1

ansible-examples

A few starter examples of ansible playbooks, to show features and how they work together. See http://galaxy.ansible.com for example roles from the Ansible community for deploying many popular applications.

awesome-ansible

Awesome Ansible List

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

aws-hands-on-workshops

A curated collection of hands-on workshops for learning AWS

aws-labs

A collection of hands-on labs to help learning the fundamentals of AWS cloud computing services.

aws-modern-application-workshop

A tutorial for developers that want to learn about how to build modern applications on top of AWS. You will build a sample website that leverages infrastructure as code, containers, serverless code functions, CI/CD, and more.

aws-tutorial-code

AWS tutorial code.

big-data-engineering-project

Big Data Engineering practice project, including ETL with Airflow and Spark using AWS S3 and EMR

break-the-ice-with-python

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

building-a-data-lake-with-aws-glue-and-amazon-s3

building-a-data-pipeline-for-ros-compliant-robotic-system-via-amazon-web-services

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

continuous-deployment-to-gke-cluster

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

d2l-vi

Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.

daomotvongpython

Các tài nguyên học tập của "Dạo Một Vòng Python" - "A Whirlwind Tour of Python"

data-engineering

Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.

data-engineering-aws-cloud

data-engineering-gcp

Data Engineering on Google Cloud Platform

data-engineering-with-aws

Data Engineering with AWS, Published by Packt

data-engineering-with-python

Data Engineering with Python, published by Packt

data-pipelines-with-airflow

This project helps me to understand the core concepts of Apache Airflow.

data_engineer_end2end

End-to-end data engineer project

data_engineer_resources