Data Selection using (loc, iloc) & Clean null values using Pandas (Part 2) |
Автор: Let's Code Brain
Загружено: 2025-06-02
Просмотров: 21
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Welcome back to our Pandas tutorial series! 🐼
In this Part 2, we take a deeper dive into data selection, cleaning, and transformation using some of the most powerful Pandas methods.
📘 What you’ll learn in this video:
✅ How to use loc[] and iloc[] for selecting data
✅ Rename columns and rows with rename()
✅ Replace values in your dataset with replace()
✅ Handle missing values like a pro (null treatment)
✅ Real examples that help you build clean, analysis-ready data
This lesson is packed with hands-on tips to clean and structure your data efficiently — a must-have skill in any data science project.
🎯 This series is ideal for:
Python beginners curious about data
Aspiring data analysts and data scientists
Anyone struggling with messy datasets
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#pandas #python #datascience #machinelearning #datacleaning #loc #iloc #nullvalues #pandasbasics #learnpython #groupby #pandastutorial
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