📈 Market Analysis

🧠 Introduction

Market Analysis is a data science project focused on analyzing and visualizing how artificial intelligence (AI) and automation are impacting the labor market. This project gathers, cleans, and explores job market data over time to uncover patterns and insights regarding job transformation, skill shifts, and industry trends driven by AI.

🎯 Objective

• Collect and process datasets related to the job market and AI-driven trends.
• Analyze employment patterns, emerging skills, and industry vulnerabilities to automation.
• Visualize the changes in job availability and skill demands over time.
• Apply machine learning models for clustering, trend detection, and prediction.
• Deliver insights through visual reports and dashboards.

📦 Requirements

• Python 3.x
• Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn
• Jupyter Notebook

📊 Data

This project uses the following dataset:

• AI-Powered Job Market Insights – Kaggle

🛠️ Installation & Usage

1. Clone the repository and set up a virtual environment:

   git clone https://github.com/yourusername/MarketAnalysis.git
   cd MarketAnalysis
   python -m venv venv
   .\venv\Scripts\activate

2. Install dependencies:

   pip install -r requirements.txt

3. Run Jupyter Notebook:

   python -m notebook notebook/main.ipynb

🤝 Contributing

Feel free to fork the repository, submit issues, or open pull requests.
Contributions related to new datasets, analysis methods, or visualizations are highly welcome!

📄 License

This project is licensed under the MIT License.