python
+1Recommender 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.kaggle
+4Machine 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!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!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!python
+1Python 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!python
+8Kaggle 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.r programming
+1Fast-and-Frugal Decision Trees in R with FFTrees
An introductory tutorial to fast-and-frugal decision trees in R with the FFTrees package.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!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!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(), ...!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.learning data science
+2AWS 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.python
+4Convolutional 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.r programming
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