gaganmanku96 / Docker-Tutorial---Data-ScientistsLinks
☆27Updated 5 years ago
Alternatives and similar repositories for Docker-Tutorial---Data-Scientists
Users that are interested in Docker-Tutorial---Data-Scientists are comparing it to the libraries listed below
Sorting:
- Tutorial given at PyData LA 2018☆97Updated last year
- Place for collecting great projects/capstones from previous springboard students.☆52Updated 4 years ago
- Notes and Python scripts for A/B or Split Testing☆142Updated 3 years ago
- ☆63Updated last year
- ☆77Updated 6 years ago
- A short workshop on datascience pipelines using mlflow and airflow☆53Updated 2 years ago
- Code from the book Fighting Churn With Data☆297Updated last month
- ☆79Updated 2 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆156Updated 4 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆136Updated last year
- ☆155Updated 4 years ago
- An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.☆298Updated 6 years ago
- Deep Learning Workshop for Data Science Go Virtual Event Summer 2020☆37Updated 3 years ago
- ☆26Updated 4 years ago
- The data science project used in my Datacamp course Unit Testing for Data Science in Python☆143Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆182Updated last year
- This repository contains code to learn AI and ML on Google Cloud Platform☆102Updated 4 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 6 years ago
- Example Repo for the Udemy Course "Deployment of Machine Learning Models"☆20Updated 5 years ago
- This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel☆189Updated 4 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …☆240Updated 5 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆311Updated 5 years ago
- Jupyter notebook for scraping and analysis of most in demand job technologies skills for data scientists.☆47Updated 5 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆416Updated last year
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 6 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- ☆63Updated 7 years ago
- Production Data Science: a workflow for collaborative data science aimed at production☆454Updated 5 years ago
- ☆32Updated last year