Stock-Price-Prediction

A Repository Featuring a Stock Price Prediction Project. This project explores various data preprocessing techniques, feature engineering, and machine learning models to forecast stock closing prices. The dataset includes financial metrics and historical stock prices.

Project Structure

• DAT540Project.ipynb: Jupyter Notebook with data processing, model training, and evaluation.
• Datasets:
  • prices.csv
  • prices-split-adjusted.csv
  • fundamentals.csv
  • securities.csv

Technologies Used

• Python
• Pandas & NumPy
• Scikit-learn
• TensorFlow/Keras (if using deep learning)
• Matplotlib & Seaborn (for visualization)

How to Run

1. Clone the repository:

   git clone https://github.com/YOUR_USERNAME/Stock-Price-Prediction.git
   cd Stock-Price-Prediction