Data Science Tutorials

Marketing mix modeling (MMM) is a data-driven analytical approach used by businesses to evaluate the effectiveness of their marketing strategies and allocate resources optimally.

Learn to use decorators like @functools.lru_cache or @functools.cache to cache functions in Python.

Calculating the coefficient of variation in Excel is a straightforward process: we divide STDEV.P by AVERAGE.

Explore how Mistral AI's Mixtral 8X22B model revolutionizes large language models with its efficient SMoE architecture, offering superior performance and scalability.

Boost your productivity and make debugging a breeze. Find the right Integrated Development Environment for your needs.

Learn how to use the Stable Diffusion 3 API for image generation with practical steps and insights on new features and enhancements.

Learn to infer and fine-tune LLMs with TPUs and implement model parallelism for distributed training on 8 TPU devices.

Learn about Microsoft’s Phi-3 language model, including its architecture, features, applications, installation, setup, integration, optimization, and fine-tuning.

The complete guide to file storage on AWS with S3 & EFS.

Learn how to quickly fix the ModuleNotFoundError: No module named 'sklearn' exception with our detailed, easy-to-follow online guide.

Learn to use the advanced capabilities of Databricks Dolly LLM to build applications.

Learn to automate the generation of data reports using Makefile and GitHub Actions.