Data Science Tutorials

Discover how the AdamW optimizer improves model performance by decoupling weight decay from gradient updates. This tutorial explains the key differences between Adam and AdamW, their use cases and provides a step-by-step guide to implementing AdamW in PyTorch.

Learn everything you need to know about synthetic data generation. Discover the techniques and tools that make synthetic data essential for AI and machine learning with practical Python code examples to help you get started!

Learn how to create and customize dumbbell charts in Tableau. Discover how to prepare your data, build the chart, and enhance it for impactful visual comparisons!

Learn to build AI chatbots with Streamlit, LangChain, and Neo4j. This tutorial covers creating UIs for LLM apps, implementing RAG, and deploying to Streamlit Cloud.

Discover the key differences, applications, and implementation of normalization and standardization in data preprocessing for machine learning.

Learn how to build real-time AI applications with OpenAI's Realtime API. This tutorial covers WebSockets, Node.js setup, text/audio messaging, function calling, and deploying a React voice assistant demo.

The SUMMARIZE() function in DAX creates summary tables by grouping data and applying aggregate functions in tools like Power BI and Excel Power Pivot. Keep reading to learn how to use DAX SUMMARIZE() to group and aggregate your data and derive good insights.

Discover Microsoft's new LLM series and boost your model's accuracy from 65% to 86% by fine-tuning it on the E-commerce classification dataset.

Learn how swarm intelligence works by implementing ant colony optimization (ACO), particle swarm optimization (PSO), and artificial bee colony (ABC) using Python.

Discover how WHERE filters row-level data in SQL queries, while HAVING filters grouped data after aggregation, and master their distinct uses in SQL querying.

Understand the SQL order of execution and how its different from the order of writing. Write accurate and optimized queries for improved performance and avoid common mistakes in query design.

Learn Speculative RAG, a technique that improves RAG through a two-step drafting and verification process, and apply your skills with a hands-on implementation using Hugging Face Transformers.