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| 1 | +items: |
| 2 | + - title: Learning Overview |
| 3 | + category: Learn |
| 4 | + type: Hub |
| 5 | + url: /learn/ |
| 6 | + description: Start with DataForSolution learning paths and see which academy or lesson fits your current level. |
| 7 | + keywords: [learning, academy, courses, beginner, roadmap] |
| 8 | + featured: true |
| 9 | + - title: Data Science Academy |
| 10 | + category: Learn |
| 11 | + type: Academy |
| 12 | + url: /learn/data-science/ |
| 13 | + description: Follow a structured path from understanding data and defining problems through analysis, machine learning, and applied projects. |
| 14 | + keywords: [data science, academy, analysis, machine learning, roadmap] |
| 15 | + featured: true |
| 16 | + - title: Data Science Level 1 |
| 17 | + category: Learn |
| 18 | + type: Learning path |
| 19 | + url: /learn/data-science/level-1/ |
| 20 | + description: Build foundational data-science thinking before moving into statistics, programming, modeling, and advanced tools. |
| 21 | + keywords: [foundations, beginner, data science, level 1, learning] |
| 22 | + - title: What Is Data? |
| 23 | + category: Learn |
| 24 | + type: Lesson |
| 25 | + url: /learn/data-science/level-1/module-1/ |
| 26 | + description: Learn how observations become records and why data is a representation of reality rather than reality itself. |
| 27 | + keywords: [data, information, records, observations, dataset, module 1] |
| 28 | + - title: Types and Structures of Data |
| 29 | + category: Learn |
| 30 | + type: Lesson |
| 31 | + url: /learn/data-science/level-1/module-2/ |
| 32 | + description: Understand qualitative, quantitative, structured, semi-structured, and unstructured data and how type affects analysis. |
| 33 | + keywords: [qualitative, quantitative, structured, unstructured, measurement, module 2] |
| 34 | + |
| 35 | + - title: Curated Projects |
| 36 | + category: Projects |
| 37 | + type: Portfolio hub |
| 38 | + url: /projects/ |
| 39 | + description: Browse ten reviewed projects with documented provenance, methodology, reproducibility, data boundaries, and limitations. |
| 40 | + keywords: [portfolio, projects, reproducibility, methodology, evidence] |
| 41 | + featured: true |
| 42 | + - title: PETQuant Reliability |
| 43 | + category: Projects |
| 44 | + type: Healthcare project |
| 45 | + url: https://github.com/DataForSolution/Data-Solution/tree/Master/portfolio/petquant |
| 46 | + external: true |
| 47 | + description: PET quantitative-ML reconstruction focused on small-sample limits, data-quality contracts, and defensible validation claims. |
| 48 | + keywords: [pet, pet ct, medical imaging, quantification, validation, healthcare] |
| 49 | + - title: Chest CT Classification |
| 50 | + category: Projects |
| 51 | + type: Healthcare project |
| 52 | + url: https://github.com/DataForSolution/Data-Solution/tree/Master/portfolio/chest-ct-classification |
| 53 | + external: true |
| 54 | + description: Medical-imaging transfer-learning reconstruction emphasizing overfitting analysis, split integrity, and deterministic evaluation. |
| 55 | + keywords: [ct, chest ct, resnet50, tensorflow, medical imaging, classification] |
| 56 | + - title: Pima Diabetes ML Evaluation |
| 57 | + category: Projects |
| 58 | + type: Healthcare project |
| 59 | + url: https://github.com/DataForSolution/Data-Solution/tree/Master/portfolio/pima-diabetes-ml |
| 60 | + external: true |
| 61 | + description: Leakage-safe SVM and MLP retrospective with missing-measurement handling and sensitivity/specificity reporting. |
| 62 | + keywords: [diabetes, svm, mlp, clinical metrics, sensitivity, specificity] |
| 63 | + - title: SHAP + LIME Explainability |
| 64 | + category: Projects |
| 65 | + type: Responsible AI project |
| 66 | + url: https://github.com/DataForSolution/Data-Solution/tree/Master/portfolio/shap-lime-explainability |
| 67 | + external: true |
| 68 | + description: Class-aligned explanation workflow with corrected label ordering, scaled modeling, and defensible attribution aggregation. |
| 69 | + keywords: [shap, lime, explainability, xai, responsible ai] |
| 70 | + - title: Fairness Evaluation |
| 71 | + category: Projects |
| 72 | + type: Responsible AI project |
| 73 | + url: https://github.com/DataForSolution/Data-Solution/tree/Master/portfolio/fairness-evaluation |
| 74 | + external: true |
| 75 | + description: Explicit group-fairness metrics and threshold analysis with documented AIF360 provenance. |
| 76 | + keywords: [fairness, aif360, responsible ai, bias, thresholds] |
| 77 | + - title: Adversarial Robustness |
| 78 | + category: Projects |
| 79 | + type: Responsible AI project |
| 80 | + url: https://github.com/DataForSolution/Data-Solution/tree/Master/portfolio/adversarial-robustness |
| 81 | + external: true |
| 82 | + description: Bounded PGD and defense-evaluation reconstruction with preprocessing, threat-model, and denominator corrections. |
| 83 | + keywords: [adversarial, pgd, robustness, pytorch, threat model] |
| 84 | + - title: Automobile Insurance Fraud Classification |
| 85 | + category: Projects |
| 86 | + type: Machine learning project |
| 87 | + url: https://github.com/DataForSolution/Data-Solution/tree/Master/portfolio/insurance-fraud-classification |
| 88 | + external: true |
| 89 | + description: Temporal, imbalance-aware evaluation showing why high overall accuracy can coexist with zero minority-class recall. |
| 90 | + keywords: [fraud, classification, imbalanced learning, pr auc, temporal holdout] |
| 91 | + - title: Restaurant Review Sentiment Evaluation |
| 92 | + category: Projects |
| 93 | + type: NLP project |
| 94 | + url: https://github.com/DataForSolution/Data-Solution/tree/Master/portfolio/restaurant-sentiment-evaluation |
| 95 | + external: true |
| 96 | + description: Leakage-safe NLP model comparison using fold-local TF-IDF pipelines and a clearly licensed UCI Yelp source. |
| 97 | + keywords: [nlp, sentiment, tf idf, yelp, cross validation] |
| 98 | + - title: CIFAR-10 Generated-Image Analysis |
| 99 | + category: Projects |
| 100 | + type: Generative AI project |
| 101 | + url: https://github.com/DataForSolution/Data-Solution/tree/Master/portfolio/cifar10-generated-analysis |
| 102 | + external: true |
| 103 | + description: Classifier-response diagnostics for generated images with a clear separation between confidence and perceptual realism. |
| 104 | + keywords: [cifar10, generated images, entropy, generative ai, diagnostics] |
| 105 | + - title: AWS Glue + EMR PySpark Ingestion Validation |
| 106 | + category: Projects |
| 107 | + type: Data engineering project |
| 108 | + url: https://github.com/DataForSolution/Data-Solution/tree/Master/portfolio/spark-glue-ingestion |
| 109 | + external: true |
| 110 | + description: Catalog-resolution and ingestion-quality engineering based on a historical embedded-header defect discovered in an EMR/Glue run. |
| 111 | + keywords: [pyspark, aws glue, emr, data engineering, ingestion, data quality] |
| 112 | + |
| 113 | + - title: Tools Workspace |
| 114 | + category: Tools |
| 115 | + type: Workspace |
| 116 | + url: /toolkits/ |
| 117 | + description: Work directly with browser-local data, statistics, model-evaluation, and career-alignment tools. |
| 118 | + keywords: [tools, workspace, calculator, browser local, privacy] |
| 119 | + featured: true |
| 120 | + - title: CSV Data Profiler |
| 121 | + category: Tools |
| 122 | + type: Data tool |
| 123 | + url: /toolkits/#data-tools |
| 124 | + description: Inspect CSV structure, missing values, duplicate rows, inferred types, numeric summaries, and a safe data preview without uploading the file. |
| 125 | + keywords: [csv, data profiler, missing values, duplicates, data quality, local processing] |
| 126 | + - title: Descriptive Statistics Calculator |
| 127 | + category: Tools |
| 128 | + type: Statistics tool |
| 129 | + url: /toolkits/#evaluation |
| 130 | + description: Calculate count, sum, mean, median, quartiles, IQR, range, and sample/population standard deviation from supplied numeric values. |
| 131 | + keywords: [statistics, mean, median, quartiles, standard deviation, iqr] |
| 132 | + - title: Classification Evaluation Calculator |
| 133 | + category: Tools |
| 134 | + type: Model evaluation tool |
| 135 | + url: /toolkits/#evaluation |
| 136 | + description: Calculate accuracy, PPV, sensitivity, specificity, F1, NPV, balanced accuracy, and prevalence from a supplied confusion matrix. |
| 137 | + keywords: [classification, confusion matrix, accuracy, sensitivity, specificity, f1, ppv] |
| 138 | + - title: Career Text Comparison |
| 139 | + category: Tools |
| 140 | + type: Career tool |
| 141 | + url: /toolkits/#career |
| 142 | + description: Compare resume and job-description text locally to review overlapping terms, job-only terms, repeated technical terms, and topic groups without an ATS score. |
| 143 | + keywords: [resume, job description, career, terms, ats, local processing] |
| 144 | + - title: Career Path Explorer |
| 145 | + category: Tools |
| 146 | + type: Career tool |
| 147 | + url: /toolkits/#career |
| 148 | + description: Review skill areas, project types, learning priorities, and selected references for five data and AI career directions. |
| 149 | + keywords: [career, data analyst, data scientist, ml engineer, bi developer, ai research] |
| 150 | + |
| 151 | + - title: Insights Overview & Articles |
| 152 | + category: Insights |
| 153 | + type: Insights hub |
| 154 | + url: /insights/ |
| 155 | + description: Read maintained DataForSolution articles and use primary-source AI, health-technology, and learning references. |
| 156 | + keywords: [articles, ai updates, health technology, learning, insights] |
| 157 | + featured: true |
| 158 | + - title: Media Learning Center |
| 159 | + category: Insights |
| 160 | + type: Media hub |
| 161 | + url: /media/ |
| 162 | + description: Find curated technical lessons, healthcare and imaging AI media, responsible-AI material, and trusted ongoing learning channels. |
| 163 | + keywords: [media, videos, tutorials, healthcare ai, responsible ai, lectures] |
| 164 | + - title: Data & AI Resource Directory |
| 165 | + category: Insights |
| 166 | + type: Resource hub |
| 167 | + url: /resources/ |
| 168 | + description: Search curated datasets, APIs, official documentation, engineering tools, healthcare data sources, and learning communities. |
| 169 | + keywords: [resources, datasets, api, documentation, healthcare data, tools] |
| 170 | + |
| 171 | + - title: About DataForSolution |
| 172 | + category: Platform |
| 173 | + type: Platform page |
| 174 | + url: /about/ |
| 175 | + description: Understand the purpose of DataForSolution, its relationship to OraDigit Technology, trust principles, and platform direction. |
| 176 | + keywords: [about, mission, oradigit, trust, platform] |
| 177 | + - title: Collaborate & Contribute |
| 178 | + category: Platform |
| 179 | + type: Participation page |
| 180 | + url: /collaborate/ |
| 181 | + description: Explore collaboration opportunities or propose original projects, tools, case studies, and learning contributions under one shared standard. |
| 182 | + keywords: [collaborate, contribute, partnerships, submissions, projects] |
| 183 | + - title: Frequently Asked Questions |
| 184 | + category: Platform |
| 185 | + type: Help page |
| 186 | + url: /faq/ |
| 187 | + description: Review common questions about DataForSolution, tools, privacy, projects, learning, and platform boundaries. |
| 188 | + keywords: [faq, questions, help, privacy, tools] |
| 189 | + - title: Contact |
| 190 | + category: Platform |
| 191 | + type: Contact page |
| 192 | + url: /contact/ |
| 193 | + description: Send a professional inquiry about the platform, collaboration, healthcare technology, data science, software engineering, or related work. |
| 194 | + keywords: [contact, inquiry, collaboration, message] |
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