FaithWairimu/maji-ndogo-water-crisis

Data-driven solutions for improving water access in Maji Ndogo. # Maji-ndogo-water-crisis Data-driven solutions for improving water access in Maji Ndogo. ## Program Overview The ALX Data Science Program is an intensive, project-based curriculum that teaches: * Data Collection * Data cleaning and transformation * Exploratory Data Analysis (EDA) * Statistical inference * Machine learning and deep learning * Data engineering concepts * Deployment and storytelling with data ## Tools & Technologies We Use | Category | Tools & Languages | | ---------------- | ------------------------------------ | | Programming | Python, Bash, SQL | | Data Analysis | Pandas, NumPy, Matplotlib, Seaborn | | Machine Learning | Scikit-learn, XGBoost | | Deep Learning | TensorFlow, Keras | | Data Engineering | Apache Airflow, Docker, Spark | | Databases | MySQL, PostgreSQL | | Deployment | Flask, Streamlit, GitHub Pages | | Version Control | Git, GitHub | | Visualization | Power BI, Tableau (optional), Plotly | | Collaboration | Slack, Zoom, GitHub Projects | ## Learning Methods The program uses the following methods to help us master each concept: * Peer Learning: We review each other's code and documentation. * Project-Based Tasks: Every topic includes practical coding projects. * Daily Standups: We collaborate and problem-solve in small teams. * Research & Documentation: Independent research is required and encouraged. * Presentations: We frequently present our work to stakeholders. * Mentorship: Technical mentors guide us through advanced topics. ## Repository Structure alx-data-science/ python-hello_world/ data_analysis/ machine_learning/ deep_learning/ data_engineering/ final_project/ ## Progress Log I will be updating repositories regularly with: * Completed assignments * Code walkthroughs * Notes and reference material * Final project (coming soon)