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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Using Python to Power Spreadsheets in Data Science
Learn how Python can be used more effectively than Excel, with the Pandas package.
Jason Graham
12 de junho de 2018
Python String to DateTime: How to Convert Strings to DateTime Objects
Learn how to convert strings to datetime objects in Python using strptime(), dateutil, and pandas with practical code examples.
Arunn Thevapalan
4 de fevereiro de 2026
TensorBoard Tutorial
Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
Thushan Ganegedara
6 de junho de 2018
Install Anaconda on macOS (2026): Apple Silicon, conda init, and Common Fixes
A practical guide to installing Anaconda on a Mac with native ARM64 support, verifying the download, initializing conda, and setting up clean environments.
DataCamp Team
28 de outubro de 2025
Custom Templates for Jupyter Notebooks with Jinja2
Learn how to create custom export templates for your Jupyter Notebooks using Jinja2.
Steph Howson
30 de maio de 2018
How to Install and Use Homebrew
Discover Homebrew for data science. Learn how you can use this package manager to install, update, and remove technologies such as Apache Spark and Graphviz.
DataCamp Team
23 de maio de 2018
Random Forest Classification in Python With Scikit-Learn: Step-by-Step Guide (with Code Examples)
This article covers how and when to use random forest classification with scikit-learn, focusing on concepts, workflow, and examples. We also cover how to use the confusion matrix and feature importances.
Adam Shafi
3 de março de 2026
Demystifying Generative Adversarial Nets (GANs)
Learn what Generative Adversarial Networks are without going into the details of the math and code a simple GAN that can create digits!
DataCamp Team
9 de maio de 2018
pandas read_csv() Tutorial: Importing Data
Importing data is the first step in any data science project. Learn why today's data scientists prefer the pandas read_csv() function to do this.
Kurtis Pykes
31 de março de 2026
Long to Wide Data in R
Learn why you would transform your data from a long to a wide format and vice versa and explore how to do this in R with melt() and dcast()!
DataCamp Team
8 de maio de 2018
GFLASSO: Graph-Guided Fused LASSO in R
Explore graph-structured multi-task regression with the GFLASSO R package with this tutorial!
Francisco Lima
26 de abril de 2018
Absolute and Weighted Frequency of Words in Text
In this tutorial, you'll learn about absolute and weighted word frequency in text mining and how to calculate it with defaultdict and pandas DataFrames.
Elias Dabbas
24 de abril de 2018