Apple Inc. Stock Prediction 2024

Overview

This project predicts the stock price of Apple Inc. for the year 2024 using data science and machine learning techniques. The analysis is performed in a Jupyter Notebook and covers data collection, preprocessing, model building, evaluation, and prediction.

Features

• Data collection and visualization
• Feature engineering
• Multiple machine learning models (e.g., Linear Regression, Random Forest, LSTM)
• Model evaluation and comparison
• Final prediction for Apple Inc. stock price

Project Structure

• Apple_Inc_stock_prediction2024.ipynb: Main Jupyter Notebook containing all code, analysis, and results.

Requirements

• Python 3.8+
• Jupyter Notebook
• pandas
• numpy
• matplotlib
• scikit-learn
• (Optional) tensorflow, keras for deep learning models

Install dependencies with:

pip install -r requirements.txt

Usage

1. Clone the repository:

   git clone https://github.com/Amar03ete/Apple.Inc_stock_prediction2024.git

2. Install dependencies.
3. Open Apple_Inc_stock_prediction2024.ipynb in Jupyter Notebook.
4. Run all cells to reproduce the analysis and prediction.

Results

The notebook provides visualizations, model performance metrics, and the predicted stock price for Apple Inc. in 2024.

Author

• Amar03ete

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.