Data Science Tutorials

Discover how to build generative AI applications using Amazon Bedrock. This step-by-step tutorial walks you through its features, setup, and optimization techniques.

Learn to use the Databricks REST API for job automation, cluster management, and integrations. Master best practices for security, performance, and scalability.

Learn how to set up the DeepSeek Janus-Pro project, build your own Docker image, and run the Janus web application locally on your laptop.

Learn to set up the AWS CLI on your system, configure it to work with your AWS account, and execute commands to interact with various AWS services!

Fine-tuning the world's first open-source reasoning model on the medical chain of thought dataset to build better AI doctors for the future.

Discover the fundamentals of the exponential distribution and its applications in real-world scenarios. Learn how to calculate probabilities and understand its significance in various fields. Explore practical examples and visualizations.

Discover how to create tables in Databricks using the CREATE TABLE command. Learn different methods for different scenarios, including how to a create a table from existing data and how to CREATE TABLE as SELECT.

This guide shows you how to build a question-answering AI app, serve it locally, and deploy it on BentoCloud—all with just a few lines of Python.

Learn how to create a simplified implementation of the RStar framework using a combination of neural networks, symbolic reasoning, and Monte Carlo Tree Search (MCTS).

Learn how to set up and run the Genesis Physics Engine on Google Colab, overcoming installation challenges and getting started with physics simulations.

Learn how to keep important rows and columns visible while you scroll in Excel. I’ve explained Freeze Panes step-by-step, with tips for solving everyday problems and improving your workflow.

Learn how to build a semantic layer with dbt, turning raw data into consistent metrics for analytics and BI tools!