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Prediction model based on Kickstarter data.

Jupyter Notebook 99.90% Python 0.10%
interface kickstarter kickstarter-analysis kickstarter-campaigns kickstarter-data prediction prediction-model spicedacademy

ds-kickstarter-project's Issues

Slides Draft (What do we want to show) (10-15 slides)

  1. Team & Project intro
  2. Data Intro: quick intro into dataset (what's in there, what can you see (short!), what is the data about?)
  3. Questions raised from the data
  4. Hypotheses based on Research questions
  5. Data Insight No.1 - success rate per category
  6. Data insight No.2 - success rate per country?
  7. Data insight No.3 - goal vs. pledged average numbers
  8. Data insight No.4 - dev by year?
  9. Data insight No.5 - ?
  10. Hypotheses results
  11. Model: question and our use case => what do we want to show?
  12. Model: first results and next step: look at subset to achieve a specific learning
  13. Model with subset: results
  14. Model: Learning
  15. Model: Possible next steps
  16. Final learnings

https://docs.google.com/presentation/d/1TfJUwwZJrRWy1xweT7l2leq1er3BnPJyVRPeXqhOMNs/edit#slide=id.SLIDES_API1280726013_0

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