Data Science Tutorials

Learn data science and AI with step-by-step tutorials on the DataCamp blog. Master Python, SQL, machine learning, and build your own AI agents.

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SQL DML Commands: Mastering Data Manipulation in SQL

Learn more about Data Manipulation Language (DML), how it compares to DQL and DDL, and master DML commands including SELECT, INSERT, DELETE, and UPDATE.

Dustin Luchmee

17 мая 2024 г.

Decoding Marketing Mix Modeling: A Complete Guide

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.

Kurtis Pykes

17 мая 2024 г.

Python Cache: Two Simple Methods

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

Stephen Gruppetta

16 мая 2024 г.

How to Calculate the Coefficient of Variation in Excel

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

Arunn Thevapalan

15 мая 2024 г.

Getting Started With Mixtral 8X22B

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

Bexruz (Bex) Tuychiev

15 мая 2024 г.

What is an IDE? A Guide For Aspiring Data Scientists and Developers

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

Amberle McKee

15 мая 2024 г.

How to Use the Stable Diffusion 3 API

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

Kurtis Pykes

13 мая 2024 г.

Fine-Tune and Run Inference on Google's Gemma Model Using TPUs for Enhanced Speed and Performance

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

Abid Ali Awan

13 мая 2024 г.

Phi-3 Tutorial: Hands-On With Microsoft’s Smallest AI Model

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