Best Practices: How to Write Clean Python Code
Following are things one should consider while writing machine learning code.
1) Right names
One should provide correct names to variables, functions, data frames, etc. so that one can easily interpret the meaning.
2) Consistent with naming conventions
Always follow the same writing convention across the code.
3) Proper documentation and comments
One should add comments to provide a description of the task to be performed by code.
4) Avoid using redundant text while writing code or providing any description; -Text / name must be easily interpretable
5) Avoid Duplication: Avoid duplication in code by using the same function for one task instead of writing different functions, also applies to other things
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