Data Science Tutorials

Learn to find and replace strings using regular expressions in Python.

Learn to convert spreadsheet table column into lowercase using .str.lower().

Learn how while loop works in Python.

Learn how to use the .append() and .extend() methods to add elements to a list.

Learn about Object-Oriented Programming (OOP) along with R's objects, different classes like S3 and S4, along with its construction, creating its generic function with examples and many more.

Learn how to effectively use list comprehension in Python to create lists, to replace (nested) for loops and the map(), filter() and reduce() functions, ...!

Discover the power of regular expressions with this tutorial. You will work with the re library, deal with pattern matching, learn about greedy and non-greedy matching, and much more!

Learn in detail about the ifelse() function, including syntax, along with finding whether a number is odd or even, and finally, with an example to see whether a student passed or failed their exam.

Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with Tensorflow Framework 2

Learn about the factor function in R, along with an example, and it's structure, order levels, renaming of the levels, and finally, with the ordering of categorical values.

Build your recommendation engine with the help of Python, from basic models to content-based and collaborative filtering recommender systems.

This article covers different ways to import text files into Python using Python, NumPy, and Python’s built-in methods. It also covers how to convert these into lists.