Alternatives and similar repositories for sagemaker-workshop-420

Users that are interested in sagemaker-workshop-420 are comparing it to the libraries listed below

• bgweber / DS_Production
  ☆155Updated 5 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• dmatrix / mlflow-workshop-part-2
  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 four p…
  ☆39Updated 4 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated 4 years ago
• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 7 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 3 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• ContentSquare / ml-in-prod
  Tutorial repo for the article "ML in Production"
  ☆30Updated 2 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• ageron / tensorflow-safari-course
  ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.
  ☆175Updated 2 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated this week
• parrt / ml-articles
  Articles on machine learning
  ☆65Updated 3 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 9 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆105Updated 2 years ago
• aswalin / Outlier-Impact-Treatment
  The goal of this repository is to detect the outliers for a dataset & see the impact of these outliers on predictive models
  ☆22Updated 7 years ago
• rnditdev / PyData_London_2018_Computer_Vision
  These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018
  ☆30Updated 7 years ago
• schmidtbri / simple-ml-model-abc
  Code demonstrating a simple Machine Learning model abstract base class and its uses.
  ☆14Updated 2 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 4 years ago
• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
  ☆35Updated 2 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• fastforwardlabs / cml_churn_demo_mlops
  ☆16Updated 2 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 2 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 8 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆64Updated 2 years ago