python

Python Iterator Tutorial

Learn all about the Python iterator, how they differ from iterables and generators, and how to build one yourself with __iter__, __next__ and itertools.
6
6
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
40
40
python
+1

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!
45
45
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.
99
99
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.
121
121
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!
63
63
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!
128
128
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!
106
106
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!
106
106
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.
91
91
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.
30
30
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
122
122
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(), ...!
58
58
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.
131
131
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.
44
44