Data Science is a dynamic and interdisciplinary field that involves extracting knowledge and insights from data. This is achieved through a combination of statistics, programming, machine learning, and domain expertise. Let’s explore the fundamental concepts of Data Science, focusing on data types, data acquisition, exploratory data analysis (EDA), data preprocessing, and data cleaning techniques. Types of Data Data can be broadly categorized into structured, unstructured, and semi-structured data: Structured Data Structured data is organized and follows a predefined format, typically stored in databases or spreadsheets. Examples include a customer database with columns for name, age, email, and purchase history. Within structured data, there are different types of attributes: Ordinal Data: This type of data has a clear, ordered relationship between values. Examples include movie ratings (1-5 stars), T-shirt sizes (S, M, L), and school grades (A, B, C). No...
This is personal blog site that describes Artificial Intelligence concepts and their practical aspects in professional and daily life.