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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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Autoencoder as a Classifier using Fashion-MNIST Dataset Tutorial

In this tutorial, you will learn & understand how to use autoencoder as a classifier in Python with Keras. You'll be using Fashion-MNIST dataset as an example.

Aditya Sharma

20 de julio de 2018

Detecting True and Deceptive Hotel Reviews using Machine Learning

In this tutorial, you’ll use a machine learning algorithm to implement a real-life problem in Python. You will learn how to read multiple text files in python, extract labels, use dataframes and a lot more!
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Aditya Sharma

19 de julio de 2018

Eladio Montero Porras

17 de octubre de 2025

Common Data Science Pitfalls & How to Avoid them!

In this tutorial, you'll learn about some pitfalls you might experience when working on data science projects "in the wild".
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DataCamp Team

17 de julio de 2018

Understanding Model Predictions with LIME

Learn about Lime and how it works along with the potential pitfalls that come with using it.
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DataCamp Team

11 de julio de 2018

Introduction to k-Means Clustering with scikit-learn in Python

In this tutorial, learn how to apply k-Means Clustering with scikit-learn in Python

Kevin Babitz

10 de marzo de 2023

Reconstructing Brain MRI Images Using Deep Learning (Convolutional Autoencoder)

In this tutorial, you'll learn & understand how to read nifti format brain magnetic resonance imaging (MRI) images, reconstructing them using convolutional autoencoder.
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Aditya Sharma

27 de junio de 2018

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.
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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.
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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.
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Arunn Thevapalan

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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.
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Jason Graham

12 de junio de 2018