Data Pre-processing in Machine Learning Explained in Urdu Handling Missing Values Encoding & Scaling

Assalamualaikum and Welcome back to AI Pro with Zeb Malik!
In this video, you’ll learn Data Pre-processing in Machine Learning step by step in Urdu/Hindi — a complete guide for beginners in Artificial Intelligence, Machine Learning, and Data Science.

Data Pre-processing is the most important step in the machine learning pipeline.
Without proper pre-processing, your ML model can’t learn accurately.
This video explains every concept clearly with examples, techniques, and Python libraries.

📘 What You’ll Learn in This Video

✅ What is Data Pre-processing in Machine Learning
✅ Why Data Pre-processing is Important
✅ Handling Missing Values & Outliers
✅ Encoding Categorical Data (Label & One-Hot Encoding)
✅ Feature Scaling (Normalization & Standardization)
✅ Splitting Data into Train and Test Sets
✅ Using Pandas, NumPy, Scikit-learn for Data Preparation
✅ Complete Data Pre-processing Pipeline Example

🚀 Why Watch This Video?

If you are learning Machine Learning in Urdu/Hindi, this tutorial will help you understand how to prepare raw data for better model performance.
You’ll discover how cleaning, transforming, encoding, and scaling data directly improve accuracy, reduce overfitting, and optimize training speed.

Видео Data Pre-processing in Machine Learning Explained in Urdu Handling Missing Values Encoding & Scaling канала Zero to AI Pro with ZebMalik