July 2023

Experience “No Code” Machine Learning – Classification

Overview In this lab, you will use Azure Machine Learning to train, evaluate, and publish a Machine Learning model. This lab intends to be a gentle, guided introduction to core ML concepts. After completing this lab, you will have enough familiarity with the platform and basic ML concepts to continue exploring on your own. I […]

Experience “No Code” Machine Learning – Classification Read More »

Develop Web Apps and Deploy ML Models using Streamlit: A Comprehensive Guide

In this comprehensive guide, we will explore the world of web app development and ML model deployment using Streamlit. Whether you are a data scientist, machine learning engineer, or web developer, this blog post is tailored to provide you with a step-by-step approach to building interactive web applications that leverage the power of ML models.

Develop Web Apps and Deploy ML Models using Streamlit: A Comprehensive Guide Read More »

Experience “no code” ML and AI

Hello! Hope you enjoy this playfully serious session on “no code” We will be using these posts in sequence [1] Experience “no code” ML https://playfullyserious.com/index.php/2023/06/30/experience-no-code-machine-learning/ [2] Experience “no code” ML deployment https://playfullyserious.com/index.php/2023/07/01/no-code-ml-deploying-a-model-and-testing/ [2] Experience “no code” AI https://playfullyserious.com/index.php/2023/07/02/experience-no-code-ai/

Experience “no code” ML and AI Read More »

Experience “No code” AI

Overview In this lab, you will use Flowise AI which is built on langchain to create some applications. This lab intends to be a gentle, guided introduction to the possibilities presented by AI. After completing this lab, you will have enough familiarity with the tools used and basic concepts to continue exploring on your own. I plan

Experience “No code” AI Read More »

No Code ML: Deploying a model on Azure ML Studio

This is part II of the lab using Azure ML Studio. The first part is in this link. Open the California House Price Prediction experiment. Click “Run”, then click “Set up as a web service”, then click “Predictive Web Service (Recommended)”, then click Run the Predictive Web Service Experiment Drag and drop the “Select Columns

No Code ML: Deploying a model on Azure ML Studio Read More »