Which shell commands do data scientists use nearly every day? Discover and learn how to use them in this tutorial!
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!
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!
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!
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(), ...!
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.
In this tutorial, you’ll learn how to implement Convolutional Neural Networks (CNNs) in Python with Keras, and how to overcome overfitting with dropout.