Alternatives and similar repositories for gcp-mle-outline

Users that are interested in gcp-mle-outline are comparing it to the libraries listed below

• KevinLiao159 / MyDataSciencePortfolio
  Applying Data Science and Machine Learning to Solve Real World Business Problems
  ☆404Updated 5 years ago
• honghanhh / coursera-practical-data-science-specialization
  Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
  ☆61Updated 4 years ago
• mattborghi / mlops-specialization
  Machine Learning Engineering for Production (MLOps) Coursera Specialization
  ☆48Updated 4 years ago
• pycaret / pycaret-deployment-google
  PyCaret deployment on Google Cloud Platform
  ☆55Updated 2 years ago
• DerekKane / Use-Cases-Data-Science
  A list of working examples of Data Science Use Cases and Applications by Industry
  ☆64Updated 5 years ago
• trainindata / deploying-machine-learning-models
  Code for the online course "Deployment of Machine Learning Models"
  ☆864Updated last year
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆374Updated 2 years ago
• srivatsan88 / google_cloud_AI_ML
  This repository contains code to learn AI and ML on Google Cloud Platform
  ☆102Updated 4 years ago
• trojrobert / MLOps_roadmap_and_curriculum
  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…
  ☆184Updated 3 years ago
• FourthBrain / software-dev-for-mlops-101
  Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
  ☆240Updated 2 years ago
• pycaret / pycaret-demo-dphi
  pycaret-demo-dphi
  ☆20Updated 4 years ago
• aiplanethub / Machine_Learning_Bootcamp
  ☆90Updated 4 years ago
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆300Updated 2 months ago
• srivatsan88 / Mastering-Apache-Spark
  This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel
  ☆189Updated 4 years ago
• ml874 / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆29Updated 6 years ago
• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆361Updated 5 years ago
• GoogleCloudPlatform / mlops-with-vertex-ai
  An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
  ☆402Updated 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 …
  ☆241Updated 5 years ago
• noahgift / Python-MLOps-Cookbook
  This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
  ☆419Updated 9 months ago
• SuperJohn / spark-and-python-for-big-data-with-pyspark
  Course on Udemy by Jose Portilla
  ☆98Updated 7 years ago
• adijo / data-science-prep
  Problems from https://datascienceprep.com/
  ☆125Updated 4 years ago
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆251Updated 5 months ago
• zhulingchen / Machine-Learning-Engineering-for-Production-MLOps-Specialization
  Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations…
  ☆29Updated 4 years ago
• bot13956 / ML_Model_for_Predicting_Ships_Crew_Size
  ☆74Updated 6 years ago
• tm1611 / Machine-Learning-Engineer-Nanodegree
  Notes and material for the "Machine Learning Engineer Nanodegree" (MLND) by Udacity.
  ☆72Updated 5 years ago
• suneelpatel / Statistics-for-Data-Science-using-Python
  Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Learn statistical concepts that a…
  ☆45Updated 6 years ago
• noahgift / aws-ml-guide
  [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
  ☆122Updated 9 months ago
• hyunjoonbok / Python-Projects
  Portfolio in Python
  ☆48Updated 2 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆131Updated 4 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year