# Content Introduction

The Circle is all about projects. That's why we don't have a lot of content to share, but rather project guidelines and material. For Spring 2025, we aim to review the project ideas and enhance the structure of the project guidelines we share with the students.&#x20;

### Previous Projects&#x20;

* Previous Projects include Stack Overflow data and Twitter Data ([Project Introduction](https://docs.google.com/presentation/d/1v5G4QjuB1TLy0pj28-LJ39iI1Ws0Ua2J9Ck4ZWXyPvk/edit#slide=id.p)).&#x20;
* The projects lacked a clear goal of what the students could achieve with it. This is what we want to improve for Spring 2025.&#x20;

### Project Framework

#### Project Requirements

* **Goal** - Each project needs a clear, achievable goal - either a product to build or a specific problem to solve
* **Structure** - Projects should be pre-structured, including deliverables, so that students clearly understand what to deliver
* **Dataset** - Data sets must be pre-validated to ensure feasibility and quality

#### Project Guidelines

* We aim to create project guidelines in a GitHub repo that include a structured project roadmap and a breakdown of the complex tasks into more manageable steps.&#x20;
* Guidelines should include:
  * Description
  * Technologies
  * Dataset
  * Deliverables
  * Evaluation Criteria
  * Plagiarism & AI
  * Resources
* An example we can use as a template: [ML Zoomcamp Projects](https://github.com/DataTalksClub/machine-learning-zoomcamp/tree/master/projects)

#### Spring 2025 Project Ideas&#x20;

1. **Flu Shot Learning** (DrivenData)
   * Predict H1N1 and seasonal flu vaccine adoption
   * Focus: Classification and healthcare analytics
   * [Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines](https://www.drivendata.org/competitions/66/flu-shot-learning/page/210/)
2. **Water Table Analysis** (DrivenData)
   * Data mining for water pump functionality prediction
   * Focus: Feature engineering and classification
   * [Pump it Up: Data Mining the Water Table](https://www.drivendata.org/competitions/7/pump-it-up-data-mining-the-water-table/page/23/)
3. **Disaster Tweet Classification** (Kaggle)
   * NLP analysis of disaster-related tweets
   * Focus: Natural language processing and text classification
   * [Natural Language Processing with Disaster Tweets](https://www.kaggle.com/competitions/nlp-getting-started)
4. **Store Sales Forecasting** (Kaggle)
   * Time series analysis for sales prediction
   * Focus: Time series forecasting and business analytics
   * [Store Sales - Time Series Forecasting](https://www.kaggle.com/competitions/store-sales-time-series-forecasting)
5. **Stock Market Analytics** (ML Zoomcamp)
   * Build a stock market analysis and prediction system
   * Focus: Financial data analysis, time series modeling, deployment
   * Includes working with real market data and creating an end-to-end ML pipeline
   * Bonus: Opportunity to build a web interface for predictions
   * [Stock Market Analytics ML Zoomcamp](https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp)
6. **Your Ideas!** Feel free to propose more ideas in the planning session

***

The projects for Spring 25 are not set, and we are keen to discuss them with you. Thanks for reading through them. Let's complete the self-onboarding now: [Complete your Self-Onboarding](../../../self-onboarding)
