Python Skill Series | NumPy-4 | Matrix operations

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This is an intermediate level of NumPy operations based on a simple matrix calculation for computing the month-wise growth in sales for a dummy dataset. #PythonSkillSeries #NumericalPython #MatrixOperations

Timestamps:
5:04 - Compute month-wise growth in sales
5:49 - Step 1
7:58 - Step 2 (usage of c_ expression)
16:28 - Step 3

  1. RANJI RAJ
  2. Python Skill Series
  3. Python Programming
  4. NumericalPython
  5. NumPY
  6. DataScience
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Hi Raj, I have a doubt. when we run Linear regression we get parameters like coefficient and intercept. we can extract them with python script. In case of Random forest regression or polynomial regression, what parameters we can extract, and how we can extract. for example if we say degree 2 polynomial. i want to get the equation of the polynomial for the polynomial regression. Is there any procedure or method in python?

venkivtz