Tutoriales de Ciencia de Datos
Desarrolla tus habilidades en ciencia de datos con tutoriales en nuestro blog. Cubrimos todo, desde visualizaciones de datos complejas en Tableau hasta funciones de control de versiones en Git.
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Reconstructing Fingerprint Images Using Deep Learning (Convolutional Autoencoder)
In this tutorial, you will learn and understand how to read jpeg format fingerprint images, reconstructing them using convolutional autoencoder.
Aditya Sharma
26 de junio de 2018
Machine Learning and NLP using R: Topic Modeling and Music Classification
In this tutorial, you will build four models using Latent Dirichlet Allocation (LDA) and K-Means clustering machine learning algorithms.
Debbie Liske
21 de junio de 2018
Decision Trees in Machine Learning Using R
A comprehensive guide to building, visualizing, and interpreting decision tree models with R.
Arunn Thevapalan
James Le
1 de junio de 2023
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 junio 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 febrero de 2026
TensorBoard Tutorial
Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
Thushan Ganegedara
6 de junio 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 octubre 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 mayo 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 mayo 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 marzo 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 mayo 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 marzo de 2026