Car Data Cleaning Tutorial | Python Pandas Data Cleaning Step-by-Step

Описание: In this video, you’ll learn how to clean and preprocess a real-world car dataset using Python and Pandas. Data cleaning is one of the most important steps in any data science or machine learning project, and this tutorial walks you through the complete workflow step by step.
We will handle missing values, remove duplicates, treat outliers, and convert messy data into a clean, structured format ready for analysis and model training.
📌 What You’ll Learn
✅ How to inspect and understand a car dataset
✅ Handling missing values and inconsistent data
✅ Removing duplicates and fixing data types
✅ Detecting and treating outliers
✅ Encoding categorical features
✅ Preparing data for machine learning models
🧰 Tools & Technologies
Python
Pandas
NumPy
Jupyter Notebook / Google Colab
🎯 Who This Video Is For
✔️ Beginners in Data Science
✔️ Machine Learning enthusiasts
✔️ Students working on data cleaning projects
✔️ Anyone who wants to learn real-world data preprocessing
🔎 Keywords
car data cleaning, data preprocessing, python pandas tutorial, machine learning dataset preparation, data science project, real world data cleaning
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