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+# IBM Applied Data Science Specialization - Projects
+
+Welcome to the repository for my projects from the **IBM Applied Data Science Specialization** on Coursera. This specialization, offered by IBM, provides practical skills and hands-on experience in data science, covering Python programming, data analysis, data visualization, predictive modeling, and more.
+
+---
+
+## 🚀 About the Specialization
+
+The **IBM Applied Data Science Specialization** is a 5-course series designed for beginners and aspiring data scientists. It combines theoretical concepts with hands-on labs and real-world projects to prepare learners for data-driven decision-making roles. Key topics include:
+
+- Python programming for data science
+- Data analysis with Pandas and NumPy
+- Data visualization using Matplotlib, Seaborn, and Plotly Dash
+- Machine learning basics and model selection
+- Developing interactive dashboards
+- End-to-end data science projects
+
+---
+
+## 📂 Repository Contents
+
+This repository contains the following projects developed throughout the specialization:
+
+1. **Python for Data Science, AI & Development**
+   - Fundamental Python concepts and coding exercises.
+
+2. **Python Project for Data Science**
+   - Extracting, wrangling, and analyzing financial data using Pandas.
+
+3. **Data Analysis with Python**
+   - Predicting housing prices using regression models with Scikit-learn.
+
+4. **Data Visualization with Python**
+   - Creating dashboards with treemaps and line plots using Matplotlib, Seaborn, and Plotly Dash.
+
+5. **Applied Data Science Capstone**
+   - Comprehensive project predicting SpaceX rocket first-stage reuse using various machine learning models.
+
+Each folder contains:
+- Project files (`.ipynb` notebooks, scripts, etc.)
+- Relevant datasets
+- Outputs (e.g., visualizations, reports)
+
+---
+
+## 🛠️ Tools and Technologies Used
+
+The projects in this repository make use of the following tools and technologies:
+- **Programming Languages**: Python
+- **Libraries**: Pandas, NumPy, Matplotlib, Seaborn, Plotly Dash, Scikit-learn
+- **Development Environments**: Jupyter Notebooks, IBM Cloud
+- **Version Control**: GitHub
+
+---
+
+## 📜 Certification
+
+This specialization is part of the **IBM Data Science Professional Certificate**, with an ACE® recommendation for college credit.
+
+---
+
+## 🤝 Connect
+
+If you find this repository helpful or have suggestions for improvement, feel free to reach out or raise an issue. Contributions are welcome!
+
+---
+
+**Author**: Sajed Karimy  
+**Email**: [email protected] 
+**LinkedIn**: [Your LinkedIn Profile](https://www.linkedin.com/in/sajedkarimy/)
+**GitHub**: [Your GitHub Profile](https://github.com/sjdKRM)
+
+---
+
+### 🔗 Additional Resources
+- [Specialization Overview on Coursera](https://www.coursera.org/specializations/applied-data-science)
+- [IBM Data Science Professional Certificate](https://www.coursera.org/professional-certificates/ibm-data-science)
+
+---