python
+2

Python XML 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.
59
59
facebook live
+4

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!
36
36
must read
chatbots
+1

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.
84
84
r programming
+2

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!
72
72
statistical modeling
+2

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.
19
19
machine learning
+1

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!
29
29
must read
importing & cleaning data
+2

Generating Realistic Random Datasets with Trumania

Why do data scientists and data engineers work with synthetic data? How do they obtain it? Discover Trumania, a scenario-based random dataset generator library.
must read
importing & cleaning data
+2
16
16
machine learning

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.
60
60
blockchain
+2

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!
138
138
python

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.
45
45
data analysis

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!
69
69
machine learning

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.
18
18
must read
fun
+5

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.
142
142
data manipulation
+1

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!
60
60
python
+1

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!
54
54