Data Science Tutorials

Learn about data types and their importance in a programming language. More specifically, learn how to use various data types like vector, matrices, lists, and dataframes in the R programming language.

Wondering whether you should use Python or R for data analysis? You’ve come to the right place.

In this tutorial, you'll learn basic time-series concepts and basic methods for forecasting time series data using spreadsheets.

Learn the common tricks to handle categorical data and preprocess it to build machine learning models!

Learn how you can execute a Python script from the command line, and also how you can provide command line arguments to your script.

In this basic Python tutorial, you'll learn about why and when you should use inner classes.

Learn about the basics of feature selection and how to implement and investigate various feature selection techniques in Python.

Discover how to write reusable and efficient Python functions. Master parameters, return statements, and advanced topics like lambda functions. Organize your code better with main() and other best practices.

Discover Long Short-Term Memory (LSTM) networks in Python and how you can use them to make stock market predictions!

Learn about PCA and how it can be leveraged to extract information from the data without any supervision using two popular datasets: Breast Cancer and CIFAR-10.

Learn about Markov Chains, their properties, transition matrices, and implement one yourself in Python!

In this tutorial, you'll learn about and how to code in Python the probability distributions commonly referenced in machine learning literature.