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Data Science Tutorials

Learn data science and AI with step-by-step tutorials on the DataCamp blog. Master Python, SQL, machine learning, and build your own AI agents.
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Building Intelligent Applications with Pinecone Canopy: A Beginner's Guide

Explore using Canopy as an open-source Retrieval Augmented Generation (RAG) framework and context built on top of the Pinecone vector database.
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Kurtis Pykes

February 23, 2024

OpenCV Tutorial: Unlock the Power of Visual Data Processing

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.
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Richmond Alake

February 22, 2024

Test-Driven Development in Python: A Beginner's Guide

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

February 21, 2024

Seaborn Heatmaps: A Guide to Data Visualization

Learn how to create eye-catching Seaborn heatmaps.
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Joleen Bothma

December 13, 2024

A Beginner's Guide to CI/CD for Machine Learning

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

February 16, 2024

An Introduction to Debugging And Testing LLMs in LangSmith

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

February 16, 2024

Python NaN: 4 Ways to Check for Missing Values in Python

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.
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Adel Nehme

February 15, 2024

Salesforce XGen-7B: A Step-by-Step Tutorial on Using And Fine-Tuning XGen-7B

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.
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Bex Tuychiev

February 15, 2024

Mastering the Pandas .explode() Method: A Comprehensive Guide

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.
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Adel Nehme

February 14, 2024

Fine-Tuning LLMs: A Guide With Examples

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

December 4, 2024