Agentic Web Scraping with Azure AI Foundry Agent Service: Insights from Building AIUseCaseHub.com
Discover how AIUseCaseHub.com uses agentic web scraping with Azure AI Foundry Agent Service, multi-agent orchestration and tool calling.
#Intermediate Tutorials
23 tutorials
Building a Conversational Voice Bot with Azure OpenAI and Python: The Future of Human and Machine Interaction
Learn how to build a conversational voice bot in Python with the latest models from Azure OpenAI and Azure AI Speech Services.
Building a Virtual AI Assistant (aka Copilot) for Your Software Application: Harnessing the Power of LLMs like ChatGPT
Explore the new era of digital interaction with LLM-powered virtual AI assistants. This article offers rare insights into the architecture
The Dance of Dialogues: Designing a Prompt Flow for an LLM-powered AI Copilot
Explore prompt flows for AI copilots and how LLMs like GPT can be adapted to your application to enhance user interaction through natural language.
How to Automatize your Twitter News Account with OpenAI ChatGPT and NewsAPI in Python
This tutorial guides you through creating an intelligent bot fetching and sharing relevant news updates on Twitter.
From Pirates to Nobleman: Simulating Multi-Agent Conversations using OpenAI's ChatGPT and Python
A ChatGPT Python script that simulates a conversation between a pirate and a nobleman on life's meaning. Customize the characters; code on GitHub.
ChatGPT Prompt Engineering Guide: Practical Advice for Business Use Cases
Discover typical challenges and learn how to engineer prompts for the successful use of ChatGPT in a business context.
Predictive Maintenance: Predicting Machine Failure using Sensor Data with XGBoost and Python
By using machine learning and Python, businesses can predict equipment failures before they happen and optimize their maintenance cycles.
Univariate Stock Market Forecasting using Facebook Prophet in Python
This tutorial gives an overview of Facebook Prophet and shows how to use the framework in Python to create a univariate time series forecast.
On-Chain Analytics: Metrics for Analyzing Blockchains in Python
This article combines blockchain data and historic crypto prices from CryptoCompare in a comprehensive on-chain analysis using Python.
Create a Personalized Movie Recommendation Engine using Content-based Filtering in Python
This article shows how to employ a bag of words model and cosine similarities to create a content-based movie recommender with Python.
Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python
Learn how to use Random Search to tune the model hyperparameters of a Random Forest with Python that predicts house sale prices.
Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
This tutorial develops and evaluates a Keras multi-output regression model that forecasts ten future Apple trading sessions in one pass.
Multivariate Anomaly Detection on Time-Series Data in Python: Using Isolation Forests to Detect Credit Card Fraud
This article describes multivariate anomaly detection in the example of credit card fraud using Random Isolation Forests in Python
Build a High-Performing Movie Recommender System using Collaborative Filtering in Python
This article shows how to build a recommender system for movies with python. The approach used is based on collaborative filtering.
Automate Crypto Trading with a Python-Powered Twitter Bot and Gate.io Signals
In this article, we will create a Twitter signal bot in Python that analyzes crypto prices for notable events and notifies users on Twitter.
Predictive Policing: Preventing Crime in San Francisco using XGBoost and Python
This article predicts crime types in San Francisco with the XGboost classifier in Python and displays them on a crime map of SF
Forecasting Beer Sales with ARIMA in Python
This Python tutorial shows how to use Auto-ARIMA for time series forecasting using the example of forecasting beer sales.
Color-Coded Cryptocurrency Price Charts in Python
Create color-coded cryptocurrency price charts with Python to visualize the lag between price points and the bitcoin halving.
Customer Churn Prediction - Understanding Models with Feature Permutation Importance using Python
This tutorial shows how to build a customer churn prediction model in telecommunications. We will use Python and measure feature importance.
Tuning Model Hyperparameters with Grid Search at the Example of Training a Random Forest Classifier in Python
Learn how to tune the model hyperparameters of a Random Forest that predicts the survival of Titanic passengers using grid search in Python.
Feature Engineering for Multivariate Time Series Models with Python
Test causal technical indicators in a leakage-free NASDAQ forecasting experiment with Python, Keras, and chronological evaluation.
Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python
This tutorial shows how to create and evaluate a recursive multi-step forecast for a rising sine curve using Keras LSTM layers in Python.