🛍️ Black Friday Dataset EDA & Feature Engineering

📌 Overview

This project explores the Black Friday Sales dataset and applies EDA + Feature Engineering to prepare it for machine learning tasks.
The dataset contains information about customers, demographics, product categories, and purchase behavior.

---

⚙️ Tools & Technologies

• Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn)
• Jupyter Notebook
• Feature Engineering

---

📊 Key Insights

• Distribution of purchase amounts.
• Impact of Gender and Age groups on spending.
• Product categories with the highest sales.
• Effect of occupation, city category, and stay duration on purchases.
• Feature engineering applied to categorical variables for ML modeling.

---

📸 Visualizations

• Purchase Distribution
  

• Gender vs Purchase Behavior
  

• Age Group vs Purchase Behavior
  

---

🚀 How to Run

1. Clone the repository

   git clone https://github.com/YourUsername/Black-Friday-EDA.git
   cd Black-Friday-EDA