Data Science Tutorials

This article provides a comprehensive guide on utilizing the OpenCV library for image and video processing within a Python environment. We dive into the wide range of image processing functionalities OpenCV offers, from basic techniques to more advanced applications.

Improve your graphs in R with titles, text annotations, labelling of points, minor tick marks, reference lines, custom axes, and a chart legend.

Master exponents in Python using various methods, from built-in functions to powerful libraries like NumPy, and leverage them in real-world scenarios to gain a deeper understanding.

Dive into test-driven development (TDD) with our comprehensive Python tutorial. Learn how to write robust tests before coding with practical examples.

Learn how to create eye-catching Seaborn heatmaps.

Learn how to automate model training, evaluation, versioning, and deployment using GitHub Actions with the easiest MLOps guide available online.

Discover how LangSmith optimizes LLM testing and debugging for AI applications. Enhance quality assurance and streamline development with real-world examples.

Explore 4 ways to detect NaN values in Python, using NumPy and Pandas. Learn key differences between NaN and None to clean and analyze data efficiently.

Most open-source LLMs have one huge drawback - short context length. Since context length is essentially the “memory” of LLMs, this issue needs to be addressed urgently. That’s exactly what Salesforce XGen 7B LLM does - provide an impressive 8k context length. This article is a tutorial on how to use and fine-tune it.

Learn all you need to know about the pandas .explode() method, covering single and multiple columns, handling nested data, and common pitfalls with practical Python code examples.

Learn how fine-tuning large language models (LLMs) improves their performance in tasks like language translation, sentiment analysis, and text generation.

There are several ways to find the size of a DataFrame in Python to fit different coding needs. Check out this tutorial for a quick primer on finding the size of a DataFrame. This tutorial presents several ways to check DataFrame size, so you’re sure to find a way that fits your needs.