Tutoriais de Ciência de Dados
Desenvolva suas habilidades em ciência de dados com tutoriais em nosso blog. Cobrimos tudo, desde visualizações de dados complexas no Tableau até funções de controle de versões no Git.
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How to use the OpenAI Text-to-Speech API
OpenAI’s TTS API is an endpoint that enables users to interact with their TTS AI model that converts text to natural-sounding spoken language.
Kurtis Pykes
7 de dezembro de 2023
Understanding Skewness And Kurtosis And How to Plot Them
A comprehensive visual guide into skewness/kurtosis and how they effect distributions and ultimately, your data science project.
Bex Tuychiev
6 de dezembro de 2023
Building a GPT Model with Browsing Capabilities Using LangChain Tools
A tutorial on integrating Google SERP, DuckDuckGo, Wikipedia, and YouTube into GPT models using Python and LangChain tools.
Andrea Valenzuela
6 de dezembro de 2023
Pandas Profiling (ydata-profiling) in Python: A Guide for Beginners
Learn how to use the ydata-profiling library in Python to generate detailed reports for datasets with many features.
Satyam Tripathi
30 de novembro de 2023
What is A Confusion Matrix in Machine Learning? The Model Evaluation Tool Explained
See how a confusion matrix categorizes model predictions into True Positives, False Positives, True Negatives, and False Negatives. Keep reading to understand its structure, calculation steps, and uses for handling imbalanced data and error analysis.
Nisha Arya Ahmed
10 de novembro de 2024
Fine-tuning Stable Diffusion XL with DreamBooth and LoRA
Learn how to successfully fine-tune Stable Diffusion XL on personal photos using Hugging Face AutoTrain Advance, DreamBooth, and LoRA for customized, high-quality image generation.
Abid Ali Awan
29 de novembro de 2023
How to Make Custom ChatGPT Models: 5 Easy Steps to Personalized GPTs
Check out these five simple steps to unlock the full potential of ChatGPT with your own custom GPTs.
Moez Ali
28 de novembro de 2023
A Comprehensive Introduction to Anomaly Detection
A tutorial on mastering the fundamentals of anomaly detection - the concepts, terminology, and code.
Bex Tuychiev
28 de novembro de 2023
Loss Functions in Machine Learning Explained
Learn about loss functions in machine learning, including the difference between loss and cost functions, types like MSE and MAE, and their applications in ML tasks.
Richmond Alake
6 de maio de 2026
Functional Programming vs Object-Oriented Programming in Data Analysis
Explore two of the most commonly used programming paradigms in data science: object-oriented programming and functional programming.
Amberle McKee
22 de novembro de 2023
A Comprehensive Guide to the DALL-E 3 API
Discover the transformative power of DALL-E 3 API in this guide, covering its key features, industry applications, and tips for users to unlock their creative potential.
Zoumana Keita
22 de novembro de 2023
What is Bagging in Machine Learning? A Guide With Examples
This tutorial provided an overview of the bagging ensemble method in machine learning, including how it works, implementation in Python, comparison to boosting, advantages, and best practices.
Abid Ali Awan
20 de novembro de 2023