Tackle the basics of Object-Oriented Programming (OOP) in Python: explore classes, objects, instance methods, attributes and much more!
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.
importing & cleaning data+2
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.
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!
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!