Data Science Tutorials

Reflection Llama-3.1 70B, trained with Reflection-Tuning, claims to surpass GPT-4o and Claude 3.5 Sonnet but has faced reproducibility and verification issues so far.

Learn how to effectively use VBA in Excel to automate tasks, create macros, and enhance your data processing skills with practical examples and best practices.

Discover how CatBoost simplifies the handling of categorical data with the CatBoostClassifier() function. Understand the key differences between CatBoost vs. XGBoost to make informed choices in your machine learning projects.

Explore how using a SQL alias simplifies both column and table names. Learn why using a SQL alias is key for improving readability and managing complex joins.

Learn to build a RAG application with Llama 3.1 8B using Ollama and Langchain by setting up the environment, processing documents, creating embeddings, and integrating a retriever.

Simplify your data models with Excel’s Goal Seek, one of its powerful What-If Analysis tools. Solve real-world problems like loan payments and revenue targets.

Use the tabulate library in Python to create well-formatted tables. Learn about its advanced features and options for customizing table appearance.

Learn how Chebyshev distance offers a unique approach to spatial problems. Uncover its applications in robotics, GIS, and game development with coding examples in Python and R.

Create compelling pie charts in Tableau with clear step-by-step instructions for importing data, adjusting sizes, and customizing colors. Discover advanced methods like grouping categories and adding filters.

Learn how to create customizable pivot tables in Power BI with advanced conditional formatting and some optimization tips.

Learn how to fine-tune Meta AI's SAM 2 using the Chest CT Segmentation dataset to improve the model's image segmentation performance in medical image analysis.

Learn how to create, edit, delete, and implement hierarchies in Power BI.