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Linear regression in Python without libraries and with SKLEARN
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This video contains an explanation on how the Linear regression algorithm is working in detail with Python by not using any framework (except pandas) and does a comparison with the Data Science library scikit-learn (sklearn) afterwards.
In my experience it is a nice thing to learn Machine Learning Algorithms by trying to build them from scratch before or besides using the package.
If you like this video and want more of this drop me a comment and like this video. There are other measures like R-squared, mean squared error and many more.
Best regards
Dataset used:
#Python #sklearn #Regression
0:00 - 0:50 Brief intro to linear regression
0:50 - 1:50 data manipulations
1:50 -2:20 defining x and y
2:20 - 03:08 Visual explanation on scatterplot
03:08 - 11:50 Linear regression without frameworks
11:50 - 15:28 Linear regression in sklearn
In my experience it is a nice thing to learn Machine Learning Algorithms by trying to build them from scratch before or besides using the package.
If you like this video and want more of this drop me a comment and like this video. There are other measures like R-squared, mean squared error and many more.
Best regards
Dataset used:
#Python #sklearn #Regression
0:00 - 0:50 Brief intro to linear regression
0:50 - 1:50 data manipulations
1:50 -2:20 defining x and y
2:20 - 03:08 Visual explanation on scatterplot
03:08 - 11:50 Linear regression without frameworks
11:50 - 15:28 Linear regression in sklearn
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