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# Portfolio Index Navigator

Welcome to the Data Analysis Portfolio Index Navigator. This notebook provides a comprehensive, codebase-wide overview and navigation for all major projects, folders, and resources in your portfolio.
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## Table of Contents
- [Capstone Projects](#capstone-projects)
- [Data Analysis](#data-analysis)
- [Machine Learning (ML)](#machine-learning-ml)
- [Natural Language Processing (NLP)](#natural-language-processing-nlp)
- [Python Practice](#python-practice)
- [SQL Projects](#sql-projects)
- [Visualization](#visualization)
- [Documentation & Config](#documentation--config)
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## Capstone Projects
### SpaceX Falcon 9 Data Science
- Data wrangling, EDA, SQL, ML, Web Scraping
- Key files:
  - `falcon9_data_wrangling_personal.ipynb`, `spacex-falcon9-data-wrangling.ipynb`, `spacex-falcon9-eda-dataviz.ipynb`, `spacex-falcon9-sql-analysis.ipynb`, `spacex-falcon9-webscraping.ipynb`, `spacex-machine-learning-prediction.ipynb`
  - Data: `dataset-part-1.csv`, `dataset-part-2.csv`, `dataset-part-3.csv`, `spacex-launch-dash.csv`, `spacex-web-scraped.csv`
  - Dashboard: `spacex-launch-dashboard-app.py`

### StackOverflow Survey
- Data collection, wrangling, visualization, dashboarding
- Subfolders: `data_analysis/`, `data_collection/`, `data_dashboard/`, `data_visualization/`, `data_wrangling/`
- Documentation: `capstone-story.pdf`, `README.md`
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## Data Analysis
- Core notebooks:
  - `data-analysis-introduction-fundamentals.ipynb`, `automobile-price-eda-analysis.ipynb`, `car-price-model-development.ipynb`, `car-price-model-evaluation-refinement.ipynb`, `automobile-data-wrangling-cleaning.ipynb`, `global-drinking-patterns-analysis.ipynb`, `global-drinking-prediction-model.ipynb`, `king-county-house-sales-analysis.ipynb`
- Data: `automobile-dataset-cleaned.csv`, `global-alcohol-consumption-data.csv`
- Portfolio navigation: `portfolio-index-navigator.ipynb`
- Update summary: `PORTFOLIO_UPDATE_SUMMARY.md`
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## Machine Learning (ML)
- Subfolders: `Classification/`, `Clustering/`, `Regression/`, `Recommender Systems/`, `The Best Classifier/`
- Data: `data/`
- Notebooks: `notebook_metadata_template.md`, `README.md`
- Requirements: `requirements.txt`
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## Natural Language Processing (NLP)
- Learning roadmap: `LEARNING_ROADMAP.md`
- Quick reference: `QUICK_REFERENCE.md`
- Subfolders: `01_Text_Preprocessing/`, `02_Basic_NLP_Concepts/`, ..., `09_Advanced_Projects/`, `Personal_Experiments/`, `Project_Gallery/`, `Utils_and_Resources/`
- Documentation: `README.md`
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## Python Practice
- Practice notebooks: `API_2.ipynb`, `Classes.ipynb`, `Functions.ipynb`, `Numpy1D.ipynb`, `Numpy2D.ipynb`, `Requests_HTTP.ipynb`, `US_Economic_Data_Dashboard.ipynb`, etc.
- Data: `Golden_State.pkl`, `image.png`, `index.html`
- Subfolder: `Web Scrapping/`
- Documentation: `README.md`
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## SQL Projects
- Notebooks: `Sayem_ChicagoData_Analysis.ipynb`, `Sayem_ChicagoSchools_SQLPractice.ipynb`, `Sayem_PeerAssignment.ipynb`, `Sayem_RealWorldData_SQL.ipynb`, `Sayem_SQLMagic_Tutorial.ipynb`, `Sayem_SQL_Analysis.ipynb`, `Sayem_SQL_Connecting.ipynb`, `Sayem_SQL_Querying.ipynb`
- Data: `ChicagoCensusData.csv`, `ChicagoCrimeData.csv`, `ChicagoPublicSchools.csv`, `Departments.csv`, `Employees.csv`, `Jobs.csv`, `JobsHistory.csv`, `Locations.csv`, `Chicago_Public_Schools__2011-2012_v3.csv`
- Documentation: `Sayem_Chicago_Data_Story.md`, `Sayem_InstructorTable_SQLPractice.sql`
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## Visualization
- Notebooks: `Area-Plots-Histograms-and-Bar-Charts-py-v2.0.ipynb`, `Dash_Basics.ipynb`, `Dash_Interactivity.ipynb`, `Flight_Delay_Time_Statistics_Dashboard.ipynb`, `Generating-Maps-in-Python.ipynb`, `Introduction-to-Matplotlib-and-Line-Plots.ipynb`, `Pie-Charts-Box-Plots-Scatter-Plots-and-Bubble-Plots-py-v2.0.ipynb`, `Plotly_Basics.ipynb`, `Sayem_Waffle_WordCloud_Regression.ipynb`, `US_Domestic_Airline_Flights_Performance.ipynb`, `Waffle-Charts-Word-Clouds-and-Regression-Plots.ipynb`
- Data: `alice_mask.png`, `alice_novel.txt`, `Flag-Canada.webp`, `world_countries.json`
- Scripts: `dash_basics.py`
- Documentation: `README.md`
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## Documentation & Config
- Main documentation: `README.md`, `PORTFOLIO_UPDATE_SUMMARY.md`, `index.md`
- Project standards: `CODE_OF_CONDUCT.md`, `CONTRIBUTING.md`, `SECURITY.md`, `LICENSE`
- Python packaging: `pyproject.toml`, `setup.cfg`, `requirements.txt`
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## How to Use This Navigator
- Use the Table of Contents to jump to any section.
- Each section lists key files, folders, and their purposes.
- Open the corresponding folder in your workspace for detailed notebooks, scripts, and data.
- Use this notebook as a quick reference and entry point to your entire codebase.
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*Portfolio index generated on June 13, 2025. For the most up-to-date structure, refer to the workspace folders directly.*
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