Alternatives and similar repositories for tutorials-for-data-scientists

Users that are interested in tutorials-for-data-scientists are comparing it to the libraries listed below

• datarobot-community / examples-for-data-scientists
  ☆63Updated last year
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆136Updated last year
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago
• springboard-curriculum / awesome-springboard-capstones
  Place for collecting great projects/capstones from previous springboard students.
  ☆52Updated 4 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆45Updated 6 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆142Updated 3 years ago
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆294Updated 3 weeks ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆182Updated last year
• dmatrix / mlflow-workshop-part-1
  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 4 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆414Updated last year
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆73Updated 3 years ago
• Samreay / DSGoPipeline
  A short workshop on datascience pipelines using mlflow and airflow
  ☆53Updated 2 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 2 years ago
• gaganmanku96 / Docker-Tutorial---Data-Scientists
  ☆27Updated 5 years ago
• h2oai / tutorials
  This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…
  ☆134Updated last year
• noahgift / databricks-zero-to-mlops
  ☆28Updated 3 years ago
• juanitorduz / ml_prod_tutorial
  Explore tips and tricks to deploy machine learning models with Docker.
  ☆13Updated 2 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆71Updated 5 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 4 years ago
• h2oai / driverlessai-recipes
  Recipes for Driverless AI
  ☆251Updated last month
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 2 years ago
• solegalli / deploying-machine-learning-models
  Example Repo for the Udemy Course "Deployment of Machine Learning Models"
  ☆20Updated 5 years ago
• dslp / dslp-repo-template
  Template repository for data science lifecycle project
  ☆195Updated 5 years ago
• bondicrypto / AB_Testing
  Implementing A/B Tests in Python
  ☆28Updated 5 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated 2 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• pyladiesams / bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
  6 week-long Python hands-on MLOps Bootcamp following a real-life industry scenario.
  ☆32Updated 3 months ago