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22 tutorials
Explore 3,000+ real-world AI use cases, save favorites, set company and industry alerts, and build your own impact-effort matrix for free.
Discover how AIUseCaseHub.com uses agentic web scraping with Azure AI Foundry Agent Service, multi-agent orchestration and tool calling.
Use OpenAI to enable users to chat with your business data by learning how to build a custom ChatGPT using Cosmos Mongo DB vCore and Python.
This tutorial guides you through creating an intelligent bot fetching and sharing relevant news updates on Twitter.
Learn about digital friction and how OpenAI's GPT technology can help reduce it, improving user experience across products and services.
Discover the unique value proposition of OpenAI's GPT models, including ChatGPT, and why they're causing such a buzz in the world of AI.
Learn about the top 9 use cases for implementing OpenAI's GPT models such as ChatGPT, and Davinci in a business context.
In this tutorial, we will use Python and the scikit-learn library to apply hierarchical clustering to a dataset of customer data.
This tutorial gives an overview of Facebook Prophet and shows how to use the framework in Python to create a univariate time series forecast.
Machine learning is transforming the insurance industry by providing new and powerful ways to analyze and manage risk.
This article combines blockchain data and historic crypto prices from CryptoCompare in a comprehensive on-chain analysis using Python.
This guide provides tips on feature exploration, engineering, and selection for machine learning using Python and Scikit-Learn
Learn how to use Random Search to tune the model hyperparameters of a Random Forest with Python that predicts house sale prices.
This tutorial presents k-mean clustering and how to perform a cluster analysis on synthetic data with Python and Scikit-Learn.
This article shows how to build a recommender system for movies with python. The approach used is based on collaborative filtering.
This Python tutorial shows how to use Auto-ARIMA for time series forecasting using the example of forecasting beer sales.
Learn about image classification with deep learning and develop a convolutional neural network that distinguishes between cats and dogs!
This tutorial shows how to build a customer churn prediction model in telecommunications. We will use Python and measure feature importance.
Feature engineering for multivariate time series models using the example of stock market forecasting with Python and Keras Neural Networks.
This tutorial shows how to model a multivariate time series using a recurrent neural network to forecast the stock market.
This article shows how to train a univariate neural network model for stock market forecasting with Python and Scikit-learn.
Want to learn about flight delay prediction? This tutorial develops a classifier in Azure Machine Learning that predicts flight delays.