# data-folks/data-science-learning-path architecture

> Architecture diagram of the GitHub repository data-folks/data-science-learning-path, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-11-12). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/data-folks/data-science-learning-path
- Repository: https://github.com/data-folks/data-science-learning-path

## Overview

This repository is a curated data-science learning guide, not an executable software product. Its primary workflow is for a learner to follow linked resources from foundational programming and mathematics through machine learning, evaluation, and application topics. The README also lists deep learning, deployment, and book references as further learning areas. There are no source excerpts, so the map reflects documented curriculum sections and makes no claims about runtime behavior or internal implementation.

Main entry points: [`README.md`](https://github.com/data-folks/data-science-learning-path/blob/main/README.md) (Programming)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_foundations["Foundations"]
  node_programming["Programming<br/>[README.md]"]
  node_math_stats["Math &amp; Statistics<br/>[README.md]"]
end

subgraph group_modeling["Machine Learning"]
  node_supervised["Supervised Learning<br/>[README.md]"]
  node_unsupervised["Unsupervised Learning<br/>[README.md]"]
  node_metrics["Evaluation Metrics<br/>[README.md]"]
  node_deep_learning["Deep Learning<br/>[README.md]"]
end

subgraph group_applications["Applications"]
  node_ml_applications["ML Applications<br/>[README.md]"]
  node_computer_vision["Computer Vision<br/>[README.md]"]
  node_nlp_nlu["NLP &amp; NLU<br/>[README.md]"]
  node_speech["Speech Recognition<br/>[README.md]"]
  node_deployment["Model Deployment<br/>[README.md]"]
  node_books["Book References<br/>[README.md]"]
end

node_learner(("Learner"))

node_learner -->|"studies"| node_programming
node_learner -->|"studies"| node_math_stats
node_learner -->|"studies"| node_supervised
node_learner -->|"studies"| node_unsupervised
node_learner -->|"studies"| node_metrics
node_learner -->|"studies"| node_deep_learning
node_learner -->|"studies"| node_ml_applications
node_learner -->|"studies"| node_computer_vision
node_learner -->|"studies"| node_nlp_nlu
node_learner -->|"studies"| node_speech
node_learner -->|"studies"| node_deployment
node_learner -->|"consults"| node_books

click node_programming "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_math_stats "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_supervised "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_unsupervised "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_metrics "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_deep_learning "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_ml_applications "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_computer_vision "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_nlp_nlu "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_speech "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_deployment "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"
click node_books "https://github.com/data-folks/data-science-learning-path/blob/main/README.md"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_programming,node_math_stats toneBlue
class node_supervised,node_unsupervised,node_metrics,node_deep_learning toneAmber
class node_ml_applications,node_computer_vision,node_nlp_nlu,node_speech,node_deployment,node_books toneMint
class node_learner toneIndigo
```

## Components

### Foundations

- [Programming](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`
- [Math & Statistics](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`

### Machine Learning

- [Supervised Learning](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`
- [Unsupervised Learning](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`
- [Evaluation Metrics](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`
- [Deep Learning](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`

### Applications

- [ML Applications](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`
- [Computer Vision](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`
- [NLP & NLU](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`
- [Speech Recognition](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`
- [Model Deployment](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`
- [Book References](https://github.com/data-folks/data-science-learning-path/blob/main/README.md): `README.md`

### Other components

- **Learner**

## Connections

- Learner → Programming: studies (evidence: `README.md`)
- Learner → Math & Statistics: studies (evidence: `README.md`)
- Learner → Supervised Learning: studies (evidence: `README.md`)
- Learner → Unsupervised Learning: studies (evidence: `README.md`)
- Learner → Evaluation Metrics: studies (evidence: `README.md`)
- Learner → Deep Learning: studies (evidence: `README.md`)
- Learner → ML Applications: studies (evidence: `README.md`)
- Learner → Computer Vision: studies (evidence: `README.md`)
- Learner → NLP & NLU: studies (evidence: `README.md`)
- Learner → Speech Recognition: studies (evidence: `README.md`)
- Learner → Model Deployment: studies (evidence: `README.md`)
- Learner → Book References: consults (evidence: `README.md`)