Data Science involves extracting meaningful insights from data through various methods and techniques, including:
Data cleaning and preprocessing Exploratory Data Analysis (EDA) Building and evaluating machine learning models Visualizing and communicating results This repository covers a range of tutorials and scripts that demonstrate how to apply these techniques in real-life scenarios.