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👨🏻‍💻 Data Scientist 📚 MSc. Mathematics & Computer Science 🎓 BSc. (Hons) Physics
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  • researchers of any level that want to explore wikidata connections in a visual way 🧪
  • scientists that are keen to use an interactive taxonomy tree 🔬
  • historians investigating royal families 👑
  • students of any kind of discipline, that want to enrich they knowledge 🎓
  • curious random and non English-speaking people from around the globe, thanks to the multilingual feature 🌎🌍🌏

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  1. Developing business understanding
  2. Gaining data understanding
  3. Conducting data preparation
  4. Doing predictive modeling
  5. Evaluating the results against your business problem/question of…

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  1. Limit amount of work in progress so that there are only pending issues that the team can sustainably handle.
  2. Identify and remove bottlenecks in your workflow…

  1. Incremental — products are released in small, valuable increments instead of shipped all at once.
  2. Iterative — products (and also the product development process itself) are continuously improved through user as well as internal feedbacks from the incremental releases, so that mistakes are quickly fixed…

  1. Clarify the problem
  2. Generate inputs and/or outputs
  3. Create test cases
  4. Plan your program
  5. Code
  6. Analyse the performance: speed/runtime
  7. Debug
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Kevin Siswandi

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