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).
Finance
22 tutorials
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.
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.
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.
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.
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.
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.
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
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
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.
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.
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.