Data Science Tutorials

Master feature extraction techniques with hands-on Python examples for image, audio, and time series data. Learn how to transform raw data into meaningful features and overcome common challenges in machine learning applications.

This in-depth guide to Apache Parquet breaks it down with clear explanations, and hands-on code examples!

Learn how to create a Power BI waterfall chart, including how to customize the chart to make it look nice. Follow best practices and avoid common mistakes.

Learn the step-by-step process of setting up a RAG application using Llama 3.2 Vision, Ollama, and ColPali.

Learn to create and customize Seaborn barplots in Python. Master essential techniques for visualizing categorical data relationships, from basic plots to advanced features.

Deploy the AWQ version of Llama 3.3 70B using vLLM, BentoML, and BentoCloud to create a highly efficient, low-latency system with exceptional throughput.

Learn how to make the most of your Google Analytics integration with edge computing.

Remove unused containers, images, volumes, and networks safely with a single shell command. Keep your system tidy and reclaim disk space by removing unused Docker resources.

Examine the mathematical principles behind random walks and explore their forms, from one-dimensional paths to biased and Gaussian models. Use Python to discover how these stochastic processes inform real-world phenomena in biology, physics, and finance.

Explore simple subtraction for quick and effortless date calculations. Apply the DAYS() and DATEDIF() functions to achieve precise date intervals. Use NETWORKDAYS() and TODAY() to track working days and automatically exclude weekends and holidays.

It only takes a few commands from a fresh OS installation to running your first containerized application. Learn how to do this with this ultimate Docker Ubuntu setup guide.

Master how to install and use Databricks CLI for cluster management, job automation, notebook handling, and DBFS operations with tips and best practices.