Python

Heatmap for Confusion Matrix in Python

One image might be value 1000's of words.A confusion matrix is a convenient solution to present the forms of mistakes a machine learning mode makes. It's an N by N grid with numbers, where...

From Theory to Practice with Particle Swarm Optimization, Using Python

There may be a joke that cracks me up:“Did that, before the clock was invented, people needed to actively roam around and ask people the time?”There may be obviously no need to clarify...

Asynchronous LLM API Calls in Python: A Comprehensive Guide

As developers and dta scientists, we regularly find ourselves needing to interact with these powerful models through APIs. Nonetheless, as our applications grow in complexity and scale, the necessity for efficient and performant API...

Data Scientists Can’t Excel in Python Without Mastering These Functions

Introduction of Python’s core functions, use cases, scripts, and underlying mechanisms10 min read·13 hours agoI discussed SQL User-Defined Functions in my last article. But in comparison with SQL, Python stands out with its versatility...

AI Language Showdown: Comparing the Performance of C++, Python, Java, and Rust

The alternative of programming language in Artificial Intelligence (AI) development plays an important role in determining the efficiency and success of a project. C++, Python, Java, and Rust each have distinct strengths and characteristics...

Automating ETL to SFTP Server Using Python and SQL

Learn the best way to automate a each day data transfer process on Windows, from PostgreSQL database to a distant serverThe strategy of transfering files from one location to a different is clearly an...

Feature Extraction for Time Series, from Theory to Practice, with Python

Time series are a special animal.After I began my Machine Learning profession I did it because I loved Physics (weird reason to start out Machine Learning) and from Physics I understood that I also...

The Only Guide You Must Superb-Tune Llama 3 or Any Other Open Source Model

Superb-tuning large language models (LLMs) like Llama 3 involves adapting a pre-trained model to specific tasks using a domain-specific dataset. This process leverages the model's pre-existing knowledge, making it efficient and cost-effective in comparison...

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