Tutorials

python
+1

Recommender Systems in Python: Beginner Tutorial

Learn how to build your own recommendation engine with the help of Python, from basic models to content-based and collaborative filtering recommender systems.
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39
kaggle
+4

Machine Learning with Kaggle: Feature Engineering

Learn how feature engineering can help you to up your game when building machine learning models in Kaggle: create new columns, transform variables and more!
38
38
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!
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98
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!
63
63
python
+1

Python Regular Expression Tutorial

Discover Python regular expressions: find basic and complex patterns, repetitions, or to do (non-)greedy matching, work with the re library and much more!
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42
python
+8

Kaggle Tutorial: EDA & Machine Learning

In this Kaggle tutorial, you'll learn how to approach and build supervised learning models with the help of exploratory data analysis (EDA) on the Titanic data.
61
61
r programming
+1

Fast-and-Frugal Decision Trees in R with FFTrees

An introductory tutorial to fast-and-frugal decision trees in R with the FFTrees package.
24
24
python

Python Data Type Conversion Tutorial

In this Python tutorial, you'll tackle implicit and explicit data type conversion of primitive and non-primitive data structures with the help of code examples!
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28
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
91
91
python

Python Dictionary Comprehension Tutorial

Learn all about Python dictionary comprehension: how you can use it to create dictionaries, to replace (nested) for loops or lambda functions with map(), filter() and reduce(), ...!
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18
python

Python Data Structures Tutorial

Get introduced to Python data structures: learn more about data types and primitive as well as non-primitive data structures, such as strings, lists, stacks, etc.
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49
learning data science
+2

AWS EC2 Tutorial For Beginners

Discover why you should use Amazon Web Services Elastic Compute Cloud (EC2) and how you can set up a basic data science environment on a Windows instance.
27
27
python
+4

Convolutional Neural Networks in Python with Keras

In this tutorial, you’ll learn how to implement Convolutional Neural Networks (CNNs) in Python with Keras, and how to overcome overfitting with dropout.
43
43
r programming
+2

Formulas in R Tutorial

Discover the R formula and how you can use it in modeling- and graphical functions of well-known packages such as stats, and ggplot2.
38
38
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!
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