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āļāļķāļāļ­āļšāļĢāļĄ 2 āļ„āļ™āļ‚āļķāđ‰āļ™āđ„āļ›?āļĨāļ­āļ‡āđƒāļŠāđ‰ DataCamp for Business
Python

Python Pickle Tutorial: Object Serialization

Discover the Python pickle module: learn about serialization, when (not) to use it, how to compress pickled objects, multiprocessing, and much more!

Natassha Selvaraj

R

Tidy Sentiment Analysis in R

Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!

Debbie Liske

R

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

R

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

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!

Daniel Gremmell

R

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

Python

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