Data Science Tutorials

Learn how to implement DBSCAN, understand its key parameters, and discover when to leverage its unique strengths in your data science projects.

Learn how to access Llama 3.2 lightweight and vision models on Kaggle, fine-tune the model on a custom dataset using free GPUs, merge and export the model to the Hugging Face Hub, and convert the fine-tuned model to GGUF format so it can be used locally with the Jan application.

Learn simple linear regression. Master the model equation, understand key assumptions and diagnostics, and learn how to interpret the results effectively.

Learn the Adagrad optimization technique, including its key benefits, limitations, implementation in PyTorch, and use cases for optimizing machine learning models.

Learn how to use Mistral’s Pixtral 12B interactively via Le Chat or programmatically through the API available on La Plateforme.

Create a Tableau donut chart by following simple steps for importing data, resizing, and customizing colors. Learn formatting tips and advanced options. See their advantage over pie charts.

A transitive dependency occurs when one attribute in a database indirectly relies on another through a third attribute, causing redundancy. Keep reading to learn how to identify and eliminate transitive dependencies in database design .

Learn how to calculate sample standard deviation and understand its significance in statistical analysis. Explore examples and best practices for real-world data interpretation.

Isolation Forest is an unsupervised machine learning algorithm that identifies anomalies or outliers in data by isolating them through a process of random partitioning within a collection of decision trees.

Discover GitHub Codespaces, the development environment that allows you to write, run, and deploy your code anywhere.

Learn how to use Flux AI to generate images and explore the features, applications, and use cases of each model in the Flux family: Flux Pro, Flux Dev, and Flux Schnell.

Learn how to make the most of NotebookLM by utilizing its podcast-generating feature and its ability to organize, summarize, and answer questions about your documents.