---
# System prepended metadata

title: Marathon Prediction

---

# Marathon Prediction
## Requirement 
1. What problems did you plan to work on? 
    - Our goal is to give runners a reference to adjust their running pace. By analyzing runner datas in previous marathons, we can understand:
    - Are athletes improving on the qualifying time limits, or slacking away? 
    - Pace discipline -- Positive splits/Negative splits/Even splits?
    - What do winners do! -- Closer look at their splits
    - Should you start slow or fast?
2. Your tentative approach to solving the problem.
    - Steps 
3. Status of the current project including the challenges you are facing.
    - Running a marathon can be hard for a normal person.
    - Choosing a suitable model.
    
4. It will be appreciated if you can follow Heilmeier's Catechism during your presentation

## Steps
1. Understand the dataset (follow the timing analysis sample https://www.kaggle.com/shubh24/timing-analysis-slow-starts-how-to-win)
2. Predictions (follow the predicting-the-slow-starts sample https://www.kaggle.com/drgilermo/predicting-the-final-time-of-a-runner-after-21-1k)

## Heilmeier's Catechism

Billy 在這
- What
    1. What are you trying to do? Articulate your objectives using absolutely no jargon.)
    2. 4 Who cares? If you’re successful, what difference will it make;
- Approach 
    1. (data analysis; 
    2. 7 What are the midterm and final “exams” to check for success
- State of the art
    1. 2 How is it done today, and what are the limits of current practice; other applications, 
    2. 3 What’s new in your approach and why do you think it will be successful?
)
- Challenges and provisions 
    1. 5 What are the risks and the payoffs?; 
    2. 6 How much will it cost? How long will it take)


1. What are you trying to do? Articulate your objectives using absolutely no jargon.
2. How is it done today, and what are the limits of current practice?
    - 其他App比较
3. What's new in your approach and why do you think it will be successful?
4. Who cares? If you're successful, what difference will it make?
5. What are the risks and the payoffs?
    - 商业局限，使用人群，宣传，利润
    - 借用大平台vs自己的客户群体
    - 卖数据，卖设备（自己的手环），卖服务
    -payoff
    -短途训练和marathon---challenge：只有marathon适用
6. How much will it cost? How long will it take?
    - Start with free database, simple UI（free）
    - App server, 管理数据
    - Hardware 
    - Half marathon
7. What are the midterm and final "exams" to check for success?




## Resources
https://www.kaggle.com/shubh24/timing-analysis-slow-starts-how-to-win
https://www.kaggle.com/drgilermo/predicting-the-final-time-of-a-runner-after-21-1k





