Скачать или смотреть Linear regression with fixed intercept. Data approximation with linear function

Pretty common task in any scientific research is to find best fitted line to approximate experimental data. But sometimes, the nature of the data requires to fix intercept point. How to do it Python?
This tutorial will give you enough information, how to find linear regression with fixed intercept with minimal knowledges of mathematics.
Also the background mathematical calculations will be given to understand the mechanism of this approximation in the Python code.
Video content:
0:00 – Intro
0:05 – Formal linear approximation task
1:09 – Analytical solution with partial derivatives
2:04 – Final equation for linear regression with fixed intercept
2:15 – Python coding
3:05 – Solving with Polyfit() from NumPy
3:33 – Solving with our equation for fixed intercept
4:50 – Calculating RMSD
5:39 – Visual analysis of the results.
Read more about this script: http://mycoding.uk/a/how_to_fit_line_...

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