Doing some Dirty Work for project
"Cleaning Data"
It’s important because:
Think of it like washing vegetables before cooking.
🥦If you don’t clean well, no matter how great the recipe (ML model), the dish will taste bad (bad predictions).
#DataScience#MachineLearning#Analytics
Start celebrating wins even if small.
Don't decided your warth on the basis of how big you achieve.
Every celebrated brick of wins make a wall of positive belief of that you can do fukin anything.This wall is so high that any negative things can't climb it.
Started new ML project.
Finally feeling why data cleaning or making the data perfect before feeding it to model takes 70% of the work.
Because,
Dirty data = useless model
#DataScience#MachineLearning
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