Python

Privacy is always incredibly important, especially with visual media where you may not have the permission of individuals in the video. If you're filming

Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

Teachable Machine (TM) is Google’s generous way to make machine learning more accessible. You can train models to recognise images, sounds…

A Python hello world tutorial using the Python extension in Visual Studio Code

Teaching LLM from scratch is challenging because of the extensive time required to understand why fine-tuned models fail; iteration cycles for fine-tuning on small datasets are typically measured in months. In contrast, the tuning iterations for a prompt take place in seconds, but after a few hours, performance levels off. The gigabytes of data in a warehouse cannot be squeezed into the prompt's space.  Using only a few lines of code from the Lamini library, any developer, not just those skilled in machine learning, can train high-performing LLMs that are on par with ChatGPT on massive datasets. Released by Lamini.ai,

The most effective way of working with image data

In this tutorial, you'll learn about sentiment analysis and how it works in Python. You'll then build your own sentiment analysis classifier with spaCy that can predict whether a movie review is positive or negative.

In this tutorial, you'll learn about collaborative filtering, which is one of the most common approaches for building recommender systems. You'll cover the various types of algorithms that fall under this category and see how to implement them in Python.