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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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!
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.
Steph Howson
March 6, 2018
Experts' Favorite Data Science Techniques
What are the most favorite techniques of the professional data scientists interviewed in DataFramed, a DataCamp podcast? Explore all 6 of them in this tutorial!
Hugo Bowne-Anderson
February 28, 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.
Alan Nichol
February 28, 2018
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!
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.
Daniel Poston
February 22, 2018
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!
Daniel Gremmell
February 20, 2018
Active Learning: Curious AI Algorithms
Discover active learning, a case of semi-supervised machine learning: from its definition and its benefits, to applications and modern research into it.
DataCamp Team
February 9, 2018
Understanding Blockchains by Coding One in R
Implement a small blockchain in R and learn more about what a blockchain looks like and some of the core concepts behind it!
Johannes Mueller
February 8, 2018
Python Tuples Tutorial
Learn about Python tuples: what they are, how to create them, when to use them, what operations you perform on them and various functions you should know.
Sejal Jaiswal
February 7, 2018
Google Cloud for Data Science: Beginner's Guide
Learn to set up a data science environment on Google Cloud: create an instance on Google Compute Engine, install Anaconda and run Jupyter notebooks!
Alexis Perrier
February 6, 2018
Finding Similar Names with Matrix Factorization
Applying matrix factorization on user clicks on hundreds of names on the recommender system NamesILike.com reveal an unseen structure in our first names.
DataCamp Team
February 2, 2018