Data Transformation in Python | Normalization, Standardization & Data Type Conversion
🚀 Data Transformation in Python | Complete Beginner-Friendly Tutorial
Welcome to this Data Science tutorial where you'll learn Data Transformation using Python, Pandas, and Scikit-learn. Data transformation is one of the most important steps in data preprocessing, helping prepare raw data for machine learning models and analytics.
In this video, you'll learn the most commonly used data transformation techniques with practical examples using a real dataset.
📚 Topics Covered
00:00 - Introduction
00:37 - Data Transformation
01:27 - Data Type Conversion
05:07 - Normalization (Min-Max Scaling)
07:43 - Standardization (Z-Score Scaling)
09:47 - Discretization (Binning)
12:13 - Outro & Next Steps
💡 What You'll Learn
What is Data Transformation?
Data Type Conversion
Normalization using Min-Max Scaling
Standardization using StandardScaler
Discretization (Binning)
Data preprocessing using Python & Pandas
Preparing data for Machine Learning
🛠️ Technologies Used
Python
Pandas
Scikit-learn
MinMaxScaler
StandardScaler
KBinsDiscretizer
📊 Dataset Used
Top IMDb Movies Dataset containing:
Rank
Title
Year
Rating
Runtime
🎯 Who is this video for?
Data Science Beginners
Python Developers
Machine Learning Students
College Students
AI Enthusiasts
Anyone learning Data Preprocessing
📥 Source Code:
https://github.com/Rhythmbellic/Data_...
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🔍 Keywords
data transformation, normalization, standardization, data type conversion, discretization, python pandas, data preprocessing, machine learning preprocessing
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