How to write better code on data science?


As data scientist you should write code better, here’s the steps

Before start to code, is good to know some implementation machine learning in business


✅ Step 1. Understand Data Science Implementation
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✅ Step 2. Understand what business want
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✅ Step 3. Know Machine Learning Key Terminology
https://lnkd.in/fCihY9W
✅ Step 4. Know Business Implementation of Data Science
https://lnkd.in/f5aUbBM

After you have clear what to code, here’s the step

1. Following standard style
-> https://lnkd.in/gKZUjVa

2. Use a linter to enforce style standards
-> https://lnkd.in/d_prybR

3. Write modular, generic, object-oriented code -
-> https://lnkd.in/gsynW6Q
-> https://lnkd.in/dx53u53

4. Write unit tests to test your functions and methods
-> https://lnkd.in/dsy-bPu

5. Organizing your code base
-> https://lnkd.in/dviGffH

6. Separate exploration and production development, and develop production code using test-driven development (TDD)
-> https://lnkd.in/dMn-s32

#machinelearning #datascience #supervisedlearning #business

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Link - https://lnkd.in/eCQUriR

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✴️ @AI_Python_EN