RamiKrispin / Introduction-to-DockerLinks
(WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications
☆128Updated 2 years ago
Alternatives and similar repositories for Introduction-to-Docker
Users that are interested in Introduction-to-Docker are comparing it to the libraries listed below
Sorting:
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆93Updated this week
- A tutorial for setting a new machine with core data science tools☆295Updated 9 months ago
- A Python Environment Template for VScode with UV☆78Updated 3 weeks ago
- Applied Time Series Analysis and Forecasting☆169Updated 2 years ago
- Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference☆80Updated this week
- A tutorial for setting an SQL code generator with the OpenAI API☆247Updated last year
- Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"☆57Updated this week
- This repo is for LinkedIn Learning course: Data Pipeline Automation with GitHub Actions☆57Updated this week
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆84Updated 2 years ago
- Deploying flexdashboard on Github Pages with Docker and Github Actions☆215Updated last year
- ☆289Updated 2 years ago
- Source for book "Feature Engineering A-Z"☆150Updated 2 weeks ago
- ☆87Updated last year
- An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them☆102Updated last year
- StatsResourcesHub: Your go-to repository for all things statistics and programming. Find tutorials, code samples, and tips in Python, R,…☆58Updated last year
- ☆11Updated 2 years ago
- Repository for the book Simplifying Machine Learning with PyCaret.☆67Updated 2 years ago
- Code for the book "Software Engineering for Data Scientists"☆101Updated this week
- 30 Day Map Challenge 2022☆28Updated 2 years ago
- Illustarting basic functionality of MLflow tracking☆14Updated 4 years ago
- My 2024 entries for the 30 Day Map Challenge☆22Updated 10 months ago
- A guide for deploying Shinylive Python application into Github Pages☆135Updated last year
- Resources for Survival Analysis☆98Updated 3 months ago
- Forecast the US demand for electricity☆100Updated 3 years ago
- summarytools in jupyter notebook☆111Updated last year
- Data Analysis with Polars, Published by Packt☆32Updated last year
- I'm learning ML with R. Focusing on (but not limiting myself to) tidyverse and tidymodels.☆16Updated 10 months ago
- Python for Data Science. This repository hosts the code behind the online book that teaches you how to use Python for data science.☆150Updated last month
- Curated collection of awesome resources and tutorials for mastering Data Science, Machine Learning, Deep Learning, and Python.☆51Updated last year
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆169Updated last year