## 1. Project Overview & Quickstart (DataTalksClub/08-ohe)

# 08-ohe

Open-source repository DataTalksClub/08-ohe

### Repository Details
- **Repository:** [DataTalksClub/08-ohe](https://github.com/DataTalksClub/08-ohe)
- **Primary Language:** Code

*Note: High-volume repository documentation is actively indexed and synchronized by YakaAI.*

## 2. Official Technical Reference & Guides (DataTalksClub/docs)

# DataTalks.Club Zoomcamps Notes

This website is currently under development and contains community-contributed notes and resources. Content is being actively added and improved by DataTalks.Club community.

| Course | Duration | Next Cohort | Description | Register | Repository |
|:---|:---:|:---:|:---|:---:|:---:|
| [Machine Learning Zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp) | 16 weeks | September 15, 2025 | ML engineering with deployment focus covering regression, classification, deep learning, and practical projects | [Register](https://airtable.com/appflP5cuR8bD5MIm/shryxwLd0COOEaqXo) | [](https://github.com/DataTalksClub/machine-learning-zoomcamp) |
| [AI Dev Tools Zoomcamp](https://github.com/DataTalksClub/ai-dev-tools-zoomcamp) | 6 weeks | November 18, 2025 | Modern AI development tools and workflows for building, testing, and deploying AI applications | [Register](https://airtable.com/appJRFiWKHBgmEt70/shrpw7rk55Ewr1jCG) | [](https://github.com/DataTalksClub/ai-dev-tools-zoomcamp) |
| [Data Engineering Zoomcamp](https://github.com/DataTalksClub/data-engineering-zoomcamp) | 9 weeks | January 2026 | Complete data engineering bootcamp covering Docker, SQL, Terraform, GCP, Kafka, and Spark | [Register](https://airtable.com/appzbS8Pkg9PL254a/shr6oVXeQvSI5HuWD) | [](https://github.com/DataTalksClub/data-engineering-zoomcamp) |
| [MLOps Zoomcamp](https://github.com/DataTalksClub/mlops-zoomcamp) | 12 weeks | – | Production ML systems & best practices including experiment tracking, model deployment, and monitoring | [Register](https://airtable.com/appYdhA23GVZd1iN2/shrCb8y6eTbPKwSTL) | [](https://github.com/DataTalksClub/mlops-zoomcamp) |
| [LLM Zoomcamp](https://github.com/DataTalksClub/llm-zoomcamp) | 10 weeks | June 2026 | Large Language Models course covering fine-tuning, RAG systems, and LLM application development | [Register](https://airtable.com/appPPxkgYLH06Mvbw/shr7WtxHEPXxaui0Q) | [](https://github.com/DataTalksClub/llm-zoomcamp) |
| [Stock Market Analytics Zoomcamp](https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp) | 8 weeks | April 2026 | Financial data analysis and algorithmic trading strategies using Python and modern analytics tools | [Register](https://pythoninvest.com/course) | [](https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp) |




## Running Locally

This site is built with [Rustkyll](https://github.com/alexeygrigorev/rustkyll). To run it locally:

### Using Make (recommended)

```bash
make install   # Install dependencies (first time only)
make serve     # Start the development server at http://localhost:4000
```

Available make targets:
- `make help` - Show all available targets
- `make install` - Download the pinned Rustkyll release binary
- `make serve` - Start the Rustkyll development server
- `make serve-livereload` - Start server with live reload
- `make build` - Build the site for production
- `make clean` - Remove generated files and caches

### Manual commands

```bash
mkdir -p .bin
curl -fsSL -o .bin/rustkyll https://github.com/alexeygrigorev/rustkyll/releases/download/v0.4.6/rustkyll-linux-amd64
chmod +x .bin/rustkyll
.bin/rustkyll serve
```

## What's in this Repository

- **Course Notes**: Detailed notes from each course session
- **Resources**: Links to datasets, tools, and materials
- **Tips & Tricks**: Best practices and helpful hints
- **Examples**: Sample projects and implementations

## About DataTalks.Club



DataTalks.Club of the biggest global online community of data enthusiasts with more than 79,000 members. We organize free online events, courses, and other community activities.



All the activity at DataTalks.Club mainly happens on [Slack](https://datatalks.club/slack.html). We post updates there and discuss different aspects of data, career questions, and more.

At DataTalksClub, we organize online events, community activities, and free courses. You can learn more about what we do at [DataTalksClub Community Navigation](https://www.notion.so/DataTalksClub-Community-Navigation-bf070ad27ba44bf6bbc9222082f0e5a8?pvs=21).

## Contributing

We welcome contributions from the community! You can help by:

- **Reporting Issues**: Found an error or broken link? Let us know
- **Improving Content**: Submit pull requests with corrections or enhancements
- **Adding Notes**: Share your own course notes and insights
- **Answering Questions**: Help fellow learners in discussions

### How to Contribute
1. Fork this repository
2. Create a new branch for your changes
3. Make your improvements
4. Submit a pull request with a clear description

## Contact

- **Alexey Grigorev**: [alexey@datatalks.club](mailto:alexey@datatalks.club): Founder and Community Lead
- **Valeriia Kuka**: [valeriia@datatalks.club](mailto:valeriia@datatalks.club): Content Manager