Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Collection of Sample Databricks Spark Notebooks ( mostly for Azure Databricks )

Using Azure Databricks (Spark) for ML, this is the //build 2019 repository with homework examples, code and notebooks

Are you like me , a Senior Data Scientist, wanting to learn more about how to approach DevOps, specifically when you using Databricks (workspaces, notebooks, libraries etc) ? Set up using @Azure @databricks

An end-to-end Machine Learning project from writing a Jupyter notebook to check the viability of the solution, to breaking down the same into modular code, creating a Flask web app integrated with a HTML template to make a website interface, and deploying on AWS and Azure.

📈 A web application used for hosting, sharing and interacting with Jupyter Notebooks via Mercury, hosted on Azure Container Apps.

Create AI/ML systems in the cloud through Azure Notebooks, F# & .NET Core with MLOps environments

Public reusable components for Polyaxon

Text Analytics Jupyter Notebook example for the Azure cognitive service

A simple command line tool and Python API to convert Python files to Azure Synapse Analytics notebooks and vice versa.

This repo contains a set of Jupyter Notebooks solving some very interesting technical problems using PowerShell via .NET Interactive Kernel.

Notebooks for Amadeus Coding dojo on LLMs using Azure OpenAI

Jupyter notebook samples to quickly get started with OpenAI and LangChain

Compilation of MSFT docs into a set of functioning pipeline and notebook examples.

Practical Jupyter notebooks from Andrew Ng and Giskard team's "Red Teaming LLM Applications" course on DeepLearning.AI.

Build a movie recommendation data pipeline using Azure services for efficient data ingestion, transformation, and orchestration. Utilize Azure Blob Storage, Azure Databricks, and Azure Data Factory to implement collaborative filtering and PySpark ML for accurate movie recommendations.

Repository of OpenClassrooms' AI Engineer path, project #9 : create a books recommandation system, integrate and deploy it as a mobile app

an attempt to centralize my little collection 📚 of jupyter notebooks in one place 🚀 🌚 (which might not be a great idea)

In this repository, I address missing values in the Prosper dataset using advanced data cleaning techniques. The refined data is then seamlessly uploaded to a pre-configured Azure Postgres Database via a Jupyter Notebook, showcasing efficient data management and cloud database integration.

This is the Capstone project (last of the three projects) required for fulfillment of the Nanodegree Machine Learning Engineer with Microsoft Azure from Udacity. In this project, we use a dataset external to Azure ML ecosystem. Azure Machine Learning Service and Jupyter Notebook is used to train models using both Hyperdrive and Auto ML and then …