A complete summary based on Machinfy Data Preprocessing PDF. All notes preserved with clear formatting and examples.

📚 What You Will Learn

• What Is Data Preprocessing?
• Data Preprocessing Importance
• Data Preprocessing Steps
  1. Data Gathering
  2. Data Quality Assessment
  3. Data Cleaning
  4. Data Transformation
  5. Data Reduction
  6. Feature Engineering

❓ What Is Data Preprocessing?

Data preprocessing is a step in the data mining and data analysis process that takes raw data and transforms it into a format that can be understood and analyzed by computers and machine learning.

📌 Preprocessing is everywhere — it’s one of the most important steps in Data Science.

🔢 What Are Data Types?

🧱 Data Preprocessing Steps

1. 📥 Data Gathering

Collecting raw data from multiple sources.

2. 🧪 Data Quality Assessment

Evaluating if data is: