Data Science Tutorials

Discover everything you need to know about LMQL, short for Language Models Query Language, an innovative programming language for LLMs.

Unlock the power of SQL NOT EQUAL with our expert guide. Learn to refine data queries with practical examples and optimization tips for better analysis.

Learn an end-to-end workflow to monitor any model in your Jupyter notebook in production environments.

Learn how to use the SQL ROUND function in this tutorial. It covers the implementation of the ROUND function in Oracle, MySQL, PostgreSQL, and SQL Server.

Explore the Power BI SWITCH function, what it is, how to use it, and some common pitfalls and best practices.

Learn how multilayer perceptrons work in deep learning. Understand layers, activation functions, backpropagation, and SGD with practical guidance.

Compare between 8 different methods for finding the length of a list in Python.

Understanding the Phi-2 model and learning how to access and fine-tune it using the role-play dataset.

Unlock the power of Bayesian Optimization for hyperparameter tuning in Machine Learning. Master theoretical foundations and practical applications with Python to enhance model accuracy.

Explore six key methods for string concatenation in Python, using consistent examples to highlight the syntax and application of each technique.

Learn key list operations and use cases for empty lists in Python.

Level-up your data modeling skills by diving head-first into slowly changing dimensions. Sharpen your skills with hands-on examples using Snowflake, and identify common challenges and solutions when implementing SCD.