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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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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

27 februari 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!
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Daniel Gremmell

20 februari 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.
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DataCamp Team

9 februari 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!
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Johannes Mueller

8 februari 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.
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Sejal Jaiswal

7 februari 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!
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Alexis Perrier

6 februari 2018

Lyric Analysis with NLP & Machine Learning with R

Dive into the lyrics of Prince's music with R: use text mining and Exploratory Data Analysis (EDA) to shed insight on The Artist's career.
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Debbie Liske

2 februari 2018

Data Science for Search Engine Marketing (SEM)

In this tutorial, data science meets Search Engine Marketing: learn to create Google AdWords campaigns by generating keywords and ad templates with Python!
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Elias Dabbas

26 januari 2018

PEP-8 Tutorial: Code Standards in Python

With this beginner tutorial, you'll start to explore PEP-8, Python's style guide, so that you can start formatting your code correctly to maximize its readability!
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Chitrank Dixit

11 april 2023

Transfer Learning: Leverage Insights from Big Data

In this tutorial, you’ll see what transfer learning is, what some of its applications are and why it is critical skill as a data scientist.
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Lars Hulstaert

19 januari 2018

Python String Tutorial

In this tutorial, you'll learn all about Python Strings: slicing and striding, manipulating and formatting them with the Formatter class, f-strings, templates and more!
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Sejal Jaiswal

18 januari 2018