Welcome to the Amazon Stock Price Prediction project! This repository demonstrates how to predict future Amazon stock prices using machine learning models, robust evaluation techniques, and data visualization.

• 🔍 Data Preprocessing: Clean and prepare stock data for ML.
• 🤖 Machine Learning Models:
  • Random Forest Regressor 🌳
  • Support Vector Regressor (SVR) 📉
  • Decision Tree Regressor 🌲
  • K-Nearest Neighbors Regressor 🤝
• 🛠️ Hyperparameter Optimization: Tune models with GridSearchCV.
• 📊 Cross-Validation: Evaluate performance using K-Fold Cross-Validation.
• 📈 Future Predictions: Forecast stock prices for the next 90 days.
• 🎨 Visualization: Compare actual vs predicted prices.

The project uses a CSV file (AMZN.csv) containing historical Amazon stock prices. Columns include:

• Date: 📅 Date of the stock record.
• Open: Opening price.
• High: Highest price.
• Low: Lowest price.
• Close: Closing price (prediction target).
• Volume: Number of shares traded.

1. Clone the repository:

   git clone https://github.com/aakash.726/Amazon-Stock-Price-Prediction.git