Data Science Tutorials

A detailed tutorial on the functionalities, comparisons, and practical applications of the Mistral Large Model.

Discover the family of LLMs available and the elements to consider when evaluating which LLM is the best for your use case.

Learn about private methods in Python, their syntax, how and when to use them in your projects using examples, and the best practices.

An introductory article on how to perform machine learning using SQL statements in PostgresML.

Unlock the power of Power BI slicers with our step-by-step tutorial. Learn to create, customize, and optimize slicers for better reports.

Learn how to use conditional formatting to boost your Power BI reports.

Learn everything about a versatile open-source application that uses OpenAI and Google AI APIs to provide you with a better user experience. It's available on desktop and browser and can even be privately deployed.

Learn how GPTCache retrieves cached results instead of generating new responses from scratch.

Learn to manage GPT model costs with tiktoken in Python. Explore tokenization, BPE, and estimate OpenAI API expenses efficiently.

Learn to calculate factorials in Excel with ease. Discover FACT, FACTDOUBLE, GAMMA functions, and more to solve mathematical and real-world problems.

Learn how to run inference on GPUs/TPUs and fine-tune the latest Gemma 7b-it model on a role-play dataset.

In this tutorial, we'll explore what percentiles are, what they are used for, the ways of calculating them in Excel, simple examples of such calculations, and possible errors to be aware of when computing percentiles in Excel.