Categories
Data Engineering

Clarifying the Terms: DataFrame vs. Dataset

If you’ve worked with data, especially in Python, Spark, or R, you’ve probably come across the terms Dataset and DataFrame. They sound similar, but they’re actually a bit different depending on the tool or framework you’re using. DataFrame A DataFrame is a two-dimensional tabular data structure that resembles an Excel sheet or a database table, […]

Categories
Data analysis & Visualization

Visualising Large Datasets with Hexbins in Python to Avoid Disturbing the Peace

Hello you! Okay, today I decided to break formal language because we have delicious content. Have you ever heard of hexbins? If not, it’s fine; if yes, it’s also fine. Today, I’ll try to show the pros of hexbins over scatter plots (which you are familiar with, I suppose) in large datasets. Why Use Hexbins […]

Categories
Machine Learning & AI

How Netflix Knows What You Will Watch Next

Netflix is undoubtedly one of the biggest streaming platforms in 2025. Today, we will examine how Netflix’s recommendation system works, along with other similar algorithms that analyze your data and predict your preferences. This article is designed to be beginner-friendly and does not contain detailed technical content. It can be easily understood by everyone without […]

Categories
Statistics and Math

What the Heck is P-Value?!

In the world of statistics and data science, the term “p-value” often comes up, but many people find it confusing. The definition is simple; however, understanding it can be a bit confusing. This article is prepared to make it easy to understand. You don’t need to be a data scientist or a genius university student. […]