How to Build a Twitter News Bot with OpenAI ChatGPT and NewsAPI in Python
It’s no secret that Large Language Models (LLMs) are a powerful tool for automating social media tasks. Not only can … Read more
Intermediate Tutorials
Here, you’ll find all intermediate machine learning tutorials. These aim to teach people with some previous knowledge of machine learning concepts and techniques more advanced topics in the field. These tutorials assume that the learner has a basic understanding of machine learning principles, such as supervised and unsupervised learning, and is looking to deepen their knowledge and develop more advanced skills. Intermediate machine learning tutorials cover topics like deep learning, natural language processing and may use more complex datasets and advanced techniques to illustrate the concepts. If you already have some experience with machine learning, intermediate tutorials will be a valuable resource to expand your knowledge of machine learning and improve your skills in the field.
From Pirates to Nobleman: Simulating Conversations between Various Characters using OpenAI’s ChatGPT and Python
Are you curious how artificial intelligence and natural language processing can transport you back in time to witness a conversation … Read more
ChatGPT Prompt Engineering Guide: Practical Advice for Business Use Cases
As businesses continue to embrace the power of conversational AI, the ability to craft effective prompts for ChatGPT has become … 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 … Read more
Univariate Stock Market Forecasting using Facebook Prophet in Python
Have you ever wondered how Facebook predicts the future? Meet Facebook Prophet, the open-source time series forecasting tool developed by … Read more
On-Chain Analytics: Metrics for Analyzing Blockchains in Python
Cryptocurrencies like Bitcoin or Ethereum are built on public blockchains, meaning anyone can see the transactions and trades happening on … Read more
Create a Personalized Movie Recommendation Engine using Content-based Filtering in Python
Content-based recommender systems are a popular type of machine learning algorithm that recommends relevant articles based on what a user … Read more
Using Random Search to Tune the Hyperparameters of a Random Decision Forest with Python
Perfecting your machine learning model’s hyperparameters can often feel like hunting for a proverbial needle in a haystack. But with … Read more
Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
Multi-output time series regression can forecast several steps of a time series at once. The number of neurons in the … Read more
Multivariate Anomaly Detection on Time-Series Data in Python: Using Isolation Forests to Detect Credit Card Fraud
Credit card fraud has become one of the most common use cases for anomaly detection systems. The number of fraud … Read more
Build a High-Performing Movie Recommender System using Collaborative Filtering in Python
The digital age presents us with an unmanageable number of decisions and even more options. Which series to watch today? … Read more