Automated Prompt Generation for OpenAI DALL-E using GPT3 (ChatGPT) in Python: A Step-By-Step API Tutorial

automatic prompt generation for ai-generate art using chatgpt and dall-e in Python

In this article, we will explore how to automate the creation of AI-generated art by integrating DALL-E with ChatGPT using the respective APIs in Python. ChatGPT, the state-of-the-art language model developed by OpenAI, has recently made waves in the tech community for its exceptional language abilities, such as code generation, … Read more

Predictive Maintenance: Predicting Machine Failure using Sensor Data with XGBoost and Python

Predictive maintenance is a game-changer for the modern industry. Still, it is based on a simple idea: By using machine learning algorithms, businesses can predict equipment failures before they happen and optimize their maintenance cycles to improve efficiency and reduce costs. In this article, we’ll explore the use of machine … Read more

Efficiently Segment Customers using Hierarchical Clustering in Python

hierarachical clustering python machine learning

Have you ever found yourself wondering how you can better understand your customer base and target your marketing efforts more effectively? One solution is to use hierarchical clustering, a method of grouping customers into clusters based on their characteristics and behaviors. By dividing your customers into distinct groups, you can … Read more

Univariate Stock Market Forecasting using Facebook Prophet in Python

Facebook Prophet

Have you ever wondered how Facebook predicts the future? Meet Facebook Prophet, the open-source time series forecasting tool developed by Facebook’s Core Data Science team. Built on top of the PyStan library, Facebook Prophet offers a simple and intuitive interface for creating forecasts using historical data. What sets Facebook Prophet … Read more

On-Chain Analytics: Metrics for Analyzing Blockchains in Python

this tutorial is about working with blockchain data in python using the CryptoCompare api

Cryptocurrencies like Bitcoin or Ethereum are built on public blockchains, meaning anyone can see the transactions and trades happening on these networks. This transparency makes on-chain data an excellent resource for data science and machine learning. By examining transaction activity and the holdings of Bitcoin addresses, analysts can better understand … Read more