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Data Science Tutorials

Develop your data science skills with tutorials in our blog. We cover everything from intricate data visualizations in Tableau to version control features in Git.
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Implementing Autoencoders in Keras: Tutorial

In this tutorial, you'll learn more about autoencoders and how to build convolutional and denoising autoencoders with the notMNIST dataset in Keras.

Aditya Sharma

April 4, 2018


Object-Oriented Programming in Python (OOP): Tutorial

Tackle the basics of Object-Oriented Programming (OOP) in Python: explore classes, objects, instance methods, attributes and much more!
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Théo Vanderheyden

December 19, 2022

Machine Learning

From Local Machine to Dask Cluster with Terraform

Learn how you can take local code that does grid search with the Scikit-Learn package to a cluster of AWS (EC2) nodes with Terraform.
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DataCamp Team

March 8, 2018

R Programming

Feature Selection in R with the Boruta R Package

Tackle feature selection in R: explore the Boruta algorithm, a wrapper built around the Random Forest classification algorithm, and its implementation!
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DataCamp Team

March 7, 2018


Python XML Tutorial with ElementTree: Beginner's Guide

Learn how you can parse, explore, modify and populate XML files with the Python ElementTree package, for loops and XPath expressions.
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Steph Howson

March 6, 2018


Deploy your Facebook Messenger Bot with Python

A step-by-step guide to easily deploying a Facebook Messenger chatbot with Python, using Flask, requests and ngrok.
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Alan Nichol

February 28, 2018

R Programming

Web Scraping in R: rvest Tutorial

Explore web scraping in R with rvest with a real-life project: extract, preprocess and analyze Trustpilot reviews with tidyverse and tidyquant, and much more!
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Arvid Kingl

February 27, 2018


Analyzing Poker Hands with Python

Analyze poker hands with Python and easily implement statistical concepts such as combinations, permutations, (in)dependent events and expected value.
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Daniel Poston

February 22, 2018

Machine Learning

Ensemble Learning in R with SuperLearner

Boost your machine learning results and discover ensembles in R with the SuperLearner package: learn about the Random Forest algorithm, bagging, and much more!
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Daniel Gremmell

February 20, 2018