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All Tutorials
61 hands-on Python & machine learning tutorials.
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.
Six Shortcomings of Current LLMs I Expect From AGI
This article explores the limitations of current LLMs and highlights six key areas where AGI is expected to excel beyond today's AI models.
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 Spech Services.
Text-to-SQL with LLMs - Embracing the Future of Data Interaction
Explore the future of database interaction with our comprehensive guide on Text-to-SQL technology using Large Language Models (LLMs).
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
Building "Chat with your Data" Apps using Embeddings, ChatGPT, and Cosmos DB for Mongo DB vCore
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.
Vector Databases: The Rising Star in Generative AI Infrastructure
How vector databases are transforming AI applications and LLMs by enabling efficient handling of unstructured data and fast similarity search.
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.
How Far are Swiss Enterprises in Adopting OpenAI's GPT Models?
How the Swiss economy is adopting OpenAI — from companies yet to explore its potential to those with a proven track record of implementing it.
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.
Using LLMs (OpenAI's ChatGPT) to Streamline Digital Experiences
Learn about digital friction and how OpenAI's GPT technology can help reduce it, improving user experience across products and services.
ChatGPT Style Guide: Understanding Voice and Tone Prompt Options for Engaging Conversations
This ChatGPT style guide presents voice and tone options and explains how you can trigger them with simple language.
Using Fairlearn to Build Fair Machine Machine Learning Models with Python: Step-by-Step Towards More Responsible AI
Move towards responsible AI by using FairLearn, an open-source Python package for assessing and mitigating unfairness in machine learning.
What is the Business Value of ChatGPT and other Large Generative Language Models?
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.
9 Business Use Cases of OpenAI's ChatGPT
Learn about the top 9 use cases for implementing OpenAI's GPT models such as ChatGPT, and Davinci in a business context.
Foundation Models Are Here: How Will They Impact Traditional Machine Learning?
Just a year ago, ChatGPT was launched, and it has since catalyzed a seismic shift in the AI landscape. Given the astonishing capabilities of generative AI…
Generating Detailed Images with OpenAI DALL-E and ChatGPT in Python: A Step-By-Step API Tutorial
In this step-by-step tutorial, we show how to generate detailed OpenAI DALL-E prompts using ChatGPT in Python.
Unleashing the Power of ChatGPT and Other OpenAI GPT Language Models in Python A Guide to Using APIs
Unleash the power of AI with OpenAI's models: A comprehensive guide on how to interact with ChatGPT, and other language models via the OpenAI API in Python.
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.
How to Use Hierarchical Clustering For Customer Segmentation in Python
In this tutorial, we will use Python and the scikit-learn library to apply hierarchical clustering to a dataset of customer data.
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.
Unlocking the Potential of Machine Learning in the Insurance Industry: Five Use Cases with High Business Value
Machine learning is transforming the insurance industry by providing new and powerful ways to analyze and manage risk.
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.
Using Pandas DataReader to Access Online Data Sources in Python
The Python library Pandas is a useful package that makes it easy to access a variety of popular data sources on the Internet.
Feature Engineering and Selection for Regression Models with Python and Scikit-learn
This guide provides tips on feature exploration, engineering, and selection for machine learning using Python and Scikit-Learn
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.
Unveiling Hidden Patterns in the Cryptocurrency Market with Affinity Propagation and Python
This tutorial shows how to use affinity propagation to analyze asset clusters in the crypto market using 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.
Leveraging Distributed Computing for Weather Analytics with PySpark
This tutorial teaches the basics of Big Data analytics with Pyspark, based on the ingestion, processing, and analysis of Zurich weather data.
Getting Started with Big Data Analytics - Apache Spark Concepts and Architecture
This tutorial explains the concepts and architecture behind Apache Spark, a mighty big data processing and analytics framework.
How to Measure the Performance of a Machine Learning Classifier with Python and Scikit-Learn?
Using confusion matrix and error metrics for measuring classification performance in machine learning with Python.
Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
This tutorial develops a multi-output regression model in Python that generates a multi-day stock market forecast for the S&P500
Cluster Analysis with k-Means in Python
This tutorial presents k-mean clustering and how to perform a cluster analysis on synthetic data with Python and Scikit-Learn.
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.
Requesting Crypto Price Data from the Gate.io REST API in Python
The Gate.io API provides access to market prices of a variety of cryptocurrencies. Learn to retrieve price data via the API using Python.
Posting Tweets On Twitter using Python and Tweepy
This article lays the foundation for building a Twitter bot by showing how to submit tweets via the Twitter API using Python and Tweepy.
Requesting Crypto Prices from the Coinmarketcap API using Python
Learn how to request crypto price data from the Coinmarketcap REST API and store it in a local SQLite DB using Python and Pewee.
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.
Streaming Tweets and Images via the Twitter API in Python
Discover how you can use the twitter API to access tweets and images from twitter with Python and use them in your data science project.
Image Classification with Convolutional Neural Networks - Classifying Cats and Dogs in Python
Learn about image classification with deep learning and develop a convolutional neural network that distinguishes between cats and dogs!
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.
Mastering Multivariate Stock Market Prediction with Python: A Guide to Effective Feature Engineering Techniques
Feature engineering for multivariate time series models using the example of stock market forecasting with Python and Keras Neural Networks.
Training a Sentiment Classifier with Naive Bayes and Logistic Regression in Python
This article deals with sentiment analysis and shows how to build a sentiment classifier using logistic regression and naive Bayes in Python.
Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python
This tutorial shows how to model a multivariate time series using a recurrent neural network to forecast the stock market.
Classifying Purchase Intention of Online Shoppers with Python
Learn to use logistic regression to solve two-class prediction problems in Python by classifying online shoppers' purchase intentions.
Measuring Regression Errors with Python
This tutorial presents six regression error metrics to measure model performance and shows how to implement them with Python and Scikit-learn
Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python
This article shows how to create a rolling multi-step forecast for a rising sine curve using Keras neural networks with lstm layers in Python
Geographic Heat Maps with GeoPandas: Visualizing COVID-19 Data in Python
Geographic heat maps are powerful to visualize spatial data. Learn to use heat maps with Python and GeoPandas to visualize COVID-19 data
Correlation Matrix in Python: How Correlated are COVID-19 Cases and Different Financial Assets?
COVID-19 has had a strong impact on the global stock market. We can measure this influence with a stock market correlation matrix in Python.
Stock Market Prediction - Adjusting Time Series Prediction Intervals in Python
This tutorial shows how to adjust prediction intervals in time series forecasting using Keras recurrent neural networks and Python.
Stock Market Prediction using Univariate Recurrent Neural Networks (RNN) with Python
This article shows how to train a univariate neural network model for stock market forecasting with Python and Scikit-learn.
Accessing Remote Data Sources via REST APIs in Python
This article shows how to access remote data sources via REST APIs in Python. Two examples are given: Using Pandas Webreader and Requests.
Getting Started with the Anaconda Python Environment for Machine Learning
Get started with Python Machine Learning and set up the Anaconda Python Environment and Python packages, incl. Jupyter Notebooks.
Flight Delay Prediction using Azure Machine Learning
Want to learn about flight delay prediction? This tutorial develops a classifier in Azure Machine Learning that predicts flight delays.