Practical Data Science using Python - Linear Regression Car Price Prediction

The video tutorial covers the application of linear regression to predict car prices based on historical sales data. It begins with an introduction to the problem, followed by the import of essential Python libraries like Numpy, Pandas, Matplotlib, and Seaborn for data analysis and visualization. The tutorial then delves into exploratory data analysis, handling categorical data, and performing statistical analysis to identify outliers. Finally, it addresses data cleaning by correcting anomalies and checking for duplicates to ensure data integrity.

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