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MLOps - Day4

I converted lockdown days into Learning days and today's learning is :-

1. Started with machine learning and understood formula of linear regression y = mx + c | y = b +cx (constant | Bias and coefficient)
2. Wrote a python program using 'pandas'
3. Improved program by calling 'Scikit Learn - sklearn' module and created salary predictor
4. Saved the model for future usages
5. Created a command line tool for salary prediction
6. Started with CV(Computer Vision)
7. Clicked photo using cv2
8. Learned difference b/w list and tupple (m = 10; m = n means reference of m and n is same, so if I change n, the value of m will also change)

Using these topics we can create an application which can help shopkeeper to predict how much grocery is required to a family(depends on family member)?
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