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Tutoriales de Ciencia de Datos

Avanza en tu carrera con nuestros tutoriales de ciencia de datos. Te guiamos paso a paso a través de las funciones y modelos de la ciencia de datos más exigentes.
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Kaggle Tutorial: Your First Machine Learning Model

Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs!

Hugo Bowne-Anderson

3 de enero de 2018

Kaggle Tutorial: EDA & Machine Learning

In this Kaggle tutorial, you'll learn how to approach and build supervised learning models with the help of exploratory data analysis (EDA) on the Titanic data.
Hugo Bowne-Anderson's photo

Hugo Bowne-Anderson

21 de diciembre de 2017

AWS EC2 Tutorial For Beginners

Discover why you should use Amazon Web Services Elastic Compute Cloud (EC2) and how you can set up a basic data science environment on a Windows instance.
DataCamp Team's photo

DataCamp Team

6 de diciembre de 2017

R Formula Tutorial

Discover the R formula and how you can use it in modeling- and graphical functions of well-known packages such as stats, and ggplot2.
Karlijn Willems's photo

Karlijn Willems

23 de noviembre de 2017

Pipes in R Tutorial For Beginners

Learn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider!
Karlijn Willems's photo

Karlijn Willems

21 de diciembre de 2022

Web Scraping & NLP in Python

Learn to scrape novels from the web and plot word frequency distributions; You will gain experience with Python packages requests, BeautifulSoup and nltk.
Hugo Bowne-Anderson's photo

Hugo Bowne-Anderson

13 de octubre de 2017

Hierarchical indices, groupby and pandas

In this tutorial, you’ll learn about multi-indices for pandas DataFrames and how they arise naturally from groupby operations on real-world data sets.
Hugo Bowne-Anderson's photo

Hugo Bowne-Anderson

31 de marzo de 2023

Groupby, split-apply-combine and pandas

In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.
Hugo Bowne-Anderson's photo

Hugo Bowne-Anderson

26 de septiembre de 2017

Poker Probability and Statistics with Python

Tackle probability and statistics in Python: learn more about combinations and permutations, dependent and independent events, and expected value.
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Daniel Poston

21 de septiembre de 2017

Graph Optimization with NetworkX in Python

This NetworkX tutorial will show you how to do graph optimization in Python by solving the Chinese Postman Problem in Python.
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Andrew Brooks

12 de septiembre de 2017

Detecting Fake News with Scikit-Learn

This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
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Katharine Jarmul

24 de agosto de 2017