@microsoft Data Camp (Analytics with Azure Machine Learning)

A face recognition based attendance updating system

In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were s…

In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were s…

Machine learning project. I built Laravel app which serves like social network for users who use fertility diagnosis tool. Model was built in Azure using predictive algorithms and it was implemented in Laravel app. Users can use fertility diagnosis tool, post their results and see global statistics.

An object detection (with Keras and YOLOv3) MLflow example

Natural Language Processing. From data preparation to building model and deploy the model to web service

Machine Learning Cheat Sheets

Automating the process of training an ML model using AzureML Python SDK within an Azure Function

MLOps using Azure ML Services, Azure Kubernetes Services, and Azure DevOps

Repositorio del seminario de Machine learning en la UPTC 2019

Démonstration Azure InterpretML

Distributed Deep Learning using AzureML

Solutions files, scripts, utilities, additional notes for the GBB-MLOps-Workshop

AKS Deployment Tutorial

Deploying a Batch Scoring Pipeline for Python Models

Batch scoring deep learning models with AML

[wip] Azure ML + Synapse + Spark = OSS Data Science & ML @ Scale