https://github.com/featureform/hacktoberfest
https://github.com/featureform/hacktoberfest
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/featureform/hacktoberfest
- Owner: featureform
- Created: 2023-10-04T05:17:26.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-04T05:29:11.000Z (over 2 years ago)
- Last Synced: 2025-01-20T05:09:44.741Z (over 1 year ago)
- Size: 4.88 KB
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🎃 Hacktoberfest 2023 with Featureform 🎃
Join us from **October 1st to October 31st, 2023** for Hacktoberfest and contribute to the Featureform's Open-Source Feature Store!
## 🤝 Why Hack with Featureform?
[Featureform](https://www.featureform.com) is an open-source virtual feature store designed for seamless integration with existing ML infrastructures. Our Python API helps data scientists deploy features into production with greater speed and reliability. It simplifies the management and serving of ML model features, addressing challenges from deployment to collaboration. It supports traditional machine learning use cases, as well as LLM applications!
## 📝 Contribution Guidelines
Before you start contributing, please go through our [Contribution Guidelines](https://github.com/featureform/featureform/blob/main/CONTRIBUTING.md).
## How to Get Started
### 🛠 Technical Contributions
- Issues will be raised on Github and tagged with `hacktoberfest`
- Some examples include:
- [Implement Milvus as a Vector Database](https://github.com/featureform/featureform/issues/1068)
- [Immplement DuckDB as an Offline Store](https://github.com/featureform/featureform/issues/1070)
- [Implement MySQL as an Offline Store](https://github.com/featureform/featureform/issues/1069)
### 📚 Project-Based Contributions
Looking to explore and improve your data science and machine learning skills? Try implementing Featureform in a data science project! You can use Featureform's [Local Mode](https://docs.featureform.com/deployment/local-mode) to get started quickly!
To submit, create a Github issue in the Featureform Repo, add the `hacktoberfest` tag, and submit a pull request :)
#### Traditional ML: Beginner to Intermediate
- **Movie Recommender**: [Dataset](https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset)
- **Store Sales - Time-series forecasting**: [Dataset](https://www.kaggle.com/competitions/store-sales-time-series-forecasting)
- **NLP Disaster Tweets**: [Dataset](https://www.kaggle.com/code/cezarr/nlp-disaster-tweets-with-huggingface-transformers)
#### Advanced
- **Q&A Chatbot**: [Project](https://github.com/featureform/Featureform-LLM-Hackathon-Project-Examples/tree/main/projects/Q%26A%20Chatbot)
- **Kaggle Competition: LLM Science Exam**: [Details](https://www.kaggle.com/competitions/kaggle-llm-science-exam)
- **Kaggle Competition: Trading at Close**: [Details](https://www.kaggle.com/competitions/optiver-trading-at-the-close/overview)
- **Kaggle Competition: Child Mind Sleep Institute**: [Details](https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states)
## 🤝 How to Get Support
- Join the [**Featureform Slack community**](https://join.slack.com/t/featureform-community/shared_invite/zt-xhqp2m4i-JOCaN1vRN2NDXSVif10aQg)
- For Hacktoberfest-specific queries, head to the `#hacktoberfest` Slack channel
- We have **Weekly Slack Community Office Hours** via huddle in #hacktoberfest:
- 📅 Every Friday from 12 PM to 1 PM PT.
- Dates: 10/13, 10/20, 10/27.
- Have additional questions? Ask in our [Slack community](https://join.slack.com/t/featureform-community/shared_invite/zt-xhqp2m4i-JOCaN1vRN2NDXSVif10aQg)!
## 🎁 Prizes and Swag
- All contributors that have a merged PR or tutorial submissions will receive commemorative swag and will be entered into a $500 raffle!
- Technical Contributions that are merged will receive a $250 gift card!
## Helpful Links:
- [Featureform Repo](https://github.com/featureform/featureform)
- [Featureform Github Issues](https://github.com/featureform/featureform/issues)
- [Featureform Docs](https://docs.featureform.com/introduction)
- [Featureform API Reference](https://sdk.featureform.com/)
Happy Hacking! 🚀