ml-ops

There are 44 repositories under ml-ops topic.

  • mlops-pipeline

    Language:Python

  • automated_data_scientist

    Automated Data Scientist: An intelligent, adaptive data analysis tool that leverages AI-driven automation to dynamically plan, execute, and refine data science workflows. Automatically handles data preparation, analysis planning, code generation, and result interpretation using advanced language models.

    Language:Python

  • Location-Based-Analysis

    This project aims to perform restaurant location-based analysis using machine learning techniques. It involves predicting restaurant ratings based on user inputs and displaying restaurant locations on a map.

    Language:HTML

  • ml-model-as-rest-api

    A simple example on how to provide ML model (DecissionTreeClassifier) as a REST Service. The app is containerize and deployed in Azure Cloud

    Language:Python

  • Bank-Customer-Churn-Prediction

    This machine learning pipeline project aims to develop an ML model to identify bank customer churn.

    Language:Jupyter Notebook

  • ml-ops

    These are my personal notes regarding Machine Learning DevOps stuff

    Language:Jupyter Notebook

  • awesome-ml-bookmarks

    A list of interesting bookmarks, blogs, channels, papers, and anything that can be considered as a day to day reference for an AI, DS, ML, or DL practioner. [WIP]

  • learning-aws-sagemaker

    Project that uses AWS SageMaker to train a neural network and serve the model

    Language:Jupyter Notebook