Tutorials

must read
tidyverse
+4

Getting Started with the Tidyverse: Tutorial

Start analyzing titanic data with R and the tidyverse: learn how to filter, arrange, summarise, mutate and visualize your data with dplyr and ggplot2!
25
25
importing & cleaning data
+1

Pickle in Python: Object Serialization

Discover the Python pickle module: learn about serialization, when (not) to use it, how to compress pickled objects, multiprocessing, and much more!
importing & cleaning data
+1
35
35
keras
+1

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.
35
35
must read
fun
+3

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!
67
67
must read
tutorial
+1

Python Object-Oriented Programming (OOP): Tutorial

Tackle the basics of Object-Oriented Programming (OOP) in Python: explore classes, objects, instance methods, attributes and much more!
83
83
must read
machine learning
+1

K-Means Clustering in R Tutorial

Learn all about clustering and, more specifically, k-means in this R Tutorial, where you'll focus on a case study with Uber data.
must read
machine learning
+1
63
63
deep learning
+3

Convolutional Neural Networks with TensorFlow

In this tutorial, you'll learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework.
31
31
aws
+2

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.
19
19
r programming
+2

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!
15
15
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.
39
39
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!
29
29
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.
66
66
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!
53
53
python
+3

Pandas Tutorial: DataFrames in Python

Explore data analysis with Python. Pandas DataFrames make manipulating your data easy, from selecting or replacing columns and indices to reshaping your data.
125
125
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.
17
17