Predicting Laptop Prices: A Complete Machine Learning Guide with Python

In this video, I'll guide you through an end-to-end machine-learning project to predict laptop prices. We'll cover everything from the initial setup and data loading to feature engineering, exploratory data analysis, handling outliers, and building a prediction model. We'll use popular libraries like pandas, NumPy, scikit-learn, and XGBoost. This tutorial goes beyond just coding; it focuses on understanding each step. By the end, you'll have a comprehensive understanding of the entire machine-learning process, including managing libraries, handling different data types, and optimizing your model's performance. Download the dataset and follow along with my code on my website.

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