Data Science Tutorials

Dive into the essentials of backpropagation in neural networks with a hands-on guide to training and evaluating a model for an image classification use scenario.

Learn the inner workings of gradient boosting in detail without much mathematical headache and how to tune the hyperparameters of the algorithm.

Learn to master DynamoDB with Node.js in this beginner's guide. Explore table creation, CRUD operations, and scalability in AWS's NoSQL database.

Learn everything about Zephyr-7B, including its training, how to access it, and how to fine-tune it on a custom database using free Kaggle GPUs.

Learn how to easily install and use Stable Diffusion Web UI for generating high-quality images on your laptop.

Learn the basics of bringing your data pipelines to production, with Apache Airflow. Install and configure Airflow, then write your first DAG with this interactive tutorial.

Explore the basics of Shiny for Python so you can start making interactive dashboards and web applications with this new library quickly!

Discover the power of Regular Expressions (RegEx) for pattern matching in Excel. Our comprehensive guide unveils how to standardize data, extract keywords, and perform advanced text manipulations.

A walkthrough of Autoencoders, their variations, and potential applications in the real world.

This guide walks you through the basics of the ChatGPT API, demonstrating its potential in natural language processing and AI-driven communication.

Discover the power of prompt engineering in LangChain, an essential technique for eliciting precise and relevant responses from AI models.

Learn how to set up and configure MySQL database inside Docker containers. The tutorial includes concepts such as connecting to MySQL servers, running MySQL clients to connect to containers, and so on.