📊 Polynomial Regression Project - Demand Prediction

🚀 Project Overview This project predicts product demand based on marketing spend using Polynomial Regression.

📂 Dataset

• Features:
  • Price
  • Marketing Spend
• Target:
  • Product Demand

🔍 Steps Performed

• Data Cleaning (Handled Missing Values)
• Exploratory Data Analysis (EDA)
• Outlier Detection using IQR
• Feature Transformation using Polynomial Features
• Model Training using Linear Regression

📈 Results

• Achieved strong relationship between marketing spend and product demand
• Polynomial model captured non-linear patterns effectively

🛠️ Tech Stack

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Scikit-learn

📌 Future Improvements

• Hyperparameter tuning
• Deploy as web app
• Add more features for better accuracy