CHAPTER 3|| Data Science || DATA PREPARATION|| Full basic concept explained ||

Welcome to our in-depth tutorial on Data Preparation-a crucial step in any data science project! 🚀
In this video, we’ll cover:
🔍 The Problem Understanding Phase: Defining the goal and scope of your project.
🛠️ Data Preparation Phase: Cleaning and organizing raw data for analysis.
📋 Adding an Index Field: Making data easier to reference and manipulate.
⚙️ Changing Misleading Field Values: Ensuring data accuracy and consistency.
🔢 Re-expression of Categorical Data as Numeric: Preparing data for machine learning models.
📐 Standardizing the Numeric Fields: Bringing values to a common scale.
🚨 Identifying Outliers: Detecting and handling anomalies in your dataset.
This video is perfect for beginners and professionals looking to sharpen their data preparation skills. Get ready to transform messy datasets into actionable insights!
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