Data Science Tutorials

In this tutorial, you will get acquainted with the bias-variance trade-off problem in linear regression and how it can be solved with regularization.

Learn about Python sets: what they are, how to create them, when to use them, built-in functions and their relationship to set theory operations.

This article covers what Notebooks are and why you should use them. We also delve into hosted notebooks, which facilitate sharing and collaboration. This article also covers tips, tricks, and keyboard shortcuts.

Learn how to perform Exploratory Data Analysis for Natural Language Processing using WordCloud in Python.

Discover the power of XGBoost, one of the most popular machine learning frameworks among data scientists, with this step-by-step tutorial in Python.

Learn about Pip, a powerful tool that helps you properly manage distribution packages in Python.

Learn about the use of traits in Scala with the help of syntactic examples.

In this tutorial, you'll learn how to perform the chi-square test in spreadsheets.

Learn about Scala's variables, rules for defining variables, different types of variables with multiple declaration and assignments along with the scope of a variable.

In this tutorial, you will learn about the fundamental notions of object-oriented programming in Scala: Classes and Objects.

Learn what lists are and how they can be leveraged in the Scala Programming Language.

Learn how to transform and load (ETL) a data pipeline from scratch using R and SQLite to gather tweets in real-time and store them for future analyses.