Tutorials

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!
41
41
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!
63
63
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
47
47
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.
56
56
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
11
11
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.
73
73
must read
machine learning

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.
must read
machine learning
30
30
must read
python
+3

Time Series Analysis Tutorial with Python

Get Google Trends data of keywords such as 'diet' and 'gym' and see how they vary over time while learning about trends and seasonality in time series data.
59
59
must read
shell

8 Useful Shell Commands For Data Science

Which shell commands do data scientists use nearly every day? Discover and learn how to use them in this tutorial!
106
106
must read
machine learning
+4

Kaggle Tutorial: Your First Machine Learning Model

Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs!
84
84
must read
r programming

Five Tips to Improve Your R Code

Five useful tips that you can use to effectively improve your R code, from using seq() to create sequences to ditching which() and much more!
must read
r programming
106
106
must read
r programming
+2

Pipes in R Tutorial For Beginners

Learn more about the famous pipe operator %>% and other pipes in R, why and how you should use them and what alternatives you can consider!
72
72
must read
data manipulation
+2

Groupby, split-apply-combine and pandas

In this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.
80
80
must read
machine learning
+4

Detecting Fake News with Scikit-Learn

This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
must read
machine learning
+4
67
67
must read
data manipulation
+1

SQL Tutorial: How To Write Better Queries

Learn about anti-patterns, execution plans, time complexity, query tuning, and optimization in SQL.
must read
data manipulation
+1
81
81