https://github.com/shubhamsoni98/capstone_project_1_financial-analytics

Predicting Stock Prices for Top 5 Global Tech Companies
https://github.com/shubhamsoni98/capstone_project_1_financial-analytics

anaconda analytics api capstone-project data-science database dbms eda jupyter-notebook machine-learning-algorithms modeltraining mysql prediction project python regression scikitlearn-machine-learning stocks tableau yahoo-finance

Last synced: about 2 months ago
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Predicting Stock Prices for Top 5 Global Tech Companies

• Host: GitHub
• URL: https://github.com/shubhamsoni98/capstone_project_1_financial-analytics
• Owner: shubhamsoni98
• Created: 2024-09-11T12:01:16.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-09-11T12:24:27.000Z (8 months ago)
• Last Synced: 2025-04-05T20:43:12.978Z (about 2 months ago)
• Topics: anaconda, analytics, api, capstone-project, data-science, database, dbms, eda, jupyter-notebook, machine-learning-algorithms, modeltraining, mysql, prediction, project, python, regression, scikitlearn-machine-learning, stocks, tableau, yahoo-finance
• Language: Jupyter Notebook
• Homepage:
• Size: 496 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Capstone Project 1: Financial Analysis

## Project Overview

This project focuses on predicting stock prices of leading tech companies using machine learning algorithms. The goal is to provide insights into future stock movements to support data-driven investment decisions.

## Objectives

The main objective is to develop a predictive model for stock prices of the following top 5 tech companies:

- **Google**

- **Microsoft**

- **Amazon**

- **Apple**

- **Meta**

## Tools and Technologies

### Programming Languages and Tools

- **Python**: For data extraction, transformation, and machine learning model development

- **SQL (MySQL)**: For data storage and querying

- **Tableau**: For visualizing the data and creating interactive dashboards

### Software

- **Jupyter Notebook**: For developing and testing Python code

- **Tableau Public Edition 2024.2.1**: For creating and publishing dashboards

- **MySQL Workbench**: For database management and SQL queries

### Libraries and APIs

- **Yahoo Finance API**: For fetching historical stock price data

- **SQLAlchemy**: For database interaction and ORM support

- **Pandas**: For data manipulation and analysis

- **NumPy**: For numerical operations

- **Seaborn**: For statistical data visualization

- **Matplotlib**: For creating static, animated, and interactive visualizations

- **Scikit-learn**: For implementing machine learning models

- **joblib**: For saving and loading model objects

## Architecture

The architecture of the project is designed to streamline data processing and model prediction:

![image](https://github.com/user-attachments/assets/1b2509c7-8c79-4c9f-9d48-f0e6e8971c92)

## Prediction Results

### Meta (Facebook)

- **Actual Prices**: Data sourced from Yahoo Finance

  ![image](https://github.com/user-attachments/assets/e30dadb2-e24d-49e2-b679-91132273d261)

- **Predicted Prices**:

  - **Prediction for 28-08**: ![image](https://github.com/user-attachments/assets/a3913f02-ca4f-40e9-b29d-a894d16f2c48)

### Nvidia

- **Actual Prices**: Data sourced from Yahoo Finance

  ![image](https://github.com/user-attachments/assets/4d76ced7-239b-4dba-a5c0-d174f5806c08)

- **Predicted Prices**:

  - **Prediction for 28-08**: ![image](https://github.com/user-attachments/assets/dcb0da48-2ac7-455a-9d6a-55b9cb13ee52)

  

## Dashboard

Interactive visualizations and insights are presented through the Tableau dashboard:

- ![Dashboard](https://github.com/user-attachments/assets/99b27638-8772-4c34-97ca-01d4817b07c0)

## Use Cases

The project has several practical applications, including:

- **Stock Price Prediction**: Forecast future stock prices based on historical data and machine learning models.

- **Data-Driven Investment Decisions**: Utilize predictive insights to make informed investment choices and strategies.

## Installation and Setup

### Prerequisites

Make sure you have the following installed:

- Python 3.x

- MySQL Server

- Tableau Public Edition

### Setup Instructions

1. **Clone the Repository**

   ```bash

   git clone https://github.com/yourusername/Capstone-Project-1-Financial-Analysis.git

2. **Install Required Python Packages**

  - pip install -r requirements.txt

    

3. **Set Up MySQL Database**

  - Import the provided SQL schema and data.

4. **Run the Jupyter Notebook**

  - Open the Jupyter Notebook and run the code cells to execute data processing and model training.

  

5. **View the Dashboard**

  - Open Tableau Public and load the .twbx file to explore the dashboard.