Data Science Tutorials

Learn the most popular unified platform for big data analytics - Databricks. The tutorial covers the seven core concepts and features of Databricks and how they interconnect to solve real-world issues in the modern data world.

Dive into our detailed Alteryx tutorial and learn how this powerful data analytics tool can transform your data handling experience. This guide covers everything from installation to advanced workflow automation in Alteryx, making it the perfect resource for beginners and seasoned data professionals alike.

Explore the groundbreaking technique of Low-Rank Adaptation (LoRA) in our full guide. Discover how LoRA revolutionizes the fine-tuning of Large Language Models.

Follow our step-by-step guide on how to integrate Slack with Python, and unlock the ability to automatically send Slack messages that drive insight!

Learn the 7 most important concepts around dbt - the favorite tool of modern data engineers.

Explore cross-entropy in machine learning in our guide on optimizing model accuracy and effectiveness in classification with TensorFlow and PyTorch examples.

Find out how to create a histogram chart using the Seaborn library in Python.

Learn how to connect and analyze MongoDB databases in Python.

Explore the architecture of Transformers, the models that have revolutionized data handling through self-attention mechanisms.

Explore the importance of Normalization, a vital step in data preprocessing that ensures uniformity of the numerical magnitudes of features.

Learn how to use Power BI for predictive analytics and create your first model in Power BI.

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.