abdullah3ashry/ALX_projects

This is where I will present the projects I have been a part of with ALX Africa # ALX Data Science & Engineering Portfolio Welcome to my ALX project repository. This collection showcases the technical assignments, data pipelines, and visualizations I completed during the ALX program, demonstrating a comprehensive workflow from raw data processing to machine learning and business intelligence. ## 📁 Repository Structure The repository is divided into four main sections: ### 1. Data Visualization Contains Power BI dashboards (`.pbix` files) and associated datasets used to analyze and visualize water services infrastructure. * **Tools:** Power BI, CSV, JSON * **Key Files:** `Public_dashboard_final.pbix`, various `Md_water_services_data` CSV extracts. ### 2. Machine Learning Focuses on building predictive models using the Maji Ndogo farm survey database. Includes exploratory data analysis, feature engineering, and model training. * **Algorithms:** Linear Regression, Decision Trees, Random Forests. * **Tools:** Python, Jupyter Notebook, Scikit-Learn, SQLite. * **Key Files:** `the_random_forest_student_version.ipynb`, `Decision_tree_student_version.ipynb`, `Maji_Ndogo_farm_survey_small.db`. ### 3. Python - Validating our Data Showcases automated data ingestion and validation pipelines. Modular Python scripts extract data from SQLite databases, process it, and validate its integrity. * **Modules:** `data_ingestion.py`, `field_data_processor.py`, `weather_data_processor.py`, `validate_data.py`. * **Tools:** Python, Pytest, Pandas, SQLAlchemy. ### 4. Professional Foundations (PF) Documentation of professional growth, including career milestones, personal mission statements, and project write-ups. ## ⚙️ Setup and Installation To explore the Python and Machine Learning notebooks locally: 1. Clone this repository: ```bash git clone Navigate to the project directory: Bash cd alx_projects_2 Install the required Python dependencies (ensure you have an environment with standard data science libraries): Bash …