Scikit Learn Linear Regression
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Basic Linear models in sklearn, the machine learning library in python.
Code: https://github.com/sachinruk/deepschool.io/ Lesson 1
Source
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PLEASE STOP ZOOMING all the time when recording we see all perfectly without it just keep screen as it is
all the time i get the same error, i copied exactly what you've done and i got this: "ValueError: Expected 2D array, got scalar array instead:
array=20.
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample." even if i use 'reshape()' function i still get the same problem, could you help me enlighting it?
What is the math or trick behind this "I expect the coefficient is around 2" ? i have been searching for what a coefficient is since yesterday and hope your reply would solve this thank you
I have watched your video about leaving Youtube . I just want to thank you for your precious tutorials and wish you all luck and happiness
Dude, your lectures are full of jumping. You would better start from above till you end each process.
NO zoom in or Zoom out just no zoom
zooming makes is not useful to type it in
please stop it
What is the deal with the [:2] ?
sadly poor explanation
Thank you!
https://github.com/sachinruk/deepschool.io/blob/master/DL-Keras_Tensorflow/Lesson%200%20-%20LinRegression.ipynb
how to make it about quadratic function????
You're all over the place. We can't focus if you can't
Great video! Is there a way to see the expansion coefficients for x_new and x_new2? I tried x_new.coef_ but it didn't work.
nice content. Please try to make one zooming out a bit. Its a bit irritating and hard to follow with the content with the content moving around all the time.
Please how to get the dataset to train ?
Nice video, just zoom out next time. It's hard to follow with all the scrolling.
You say "model = LinearRegression() #fit_intercept = False".
But when you don't specify the fit_intercept, isn't it assumed to be true? Also, would a true fit-intercept fit the data better in all cases? If not, why not? I am confused by how fit_intercept works.
Thanks,
Priya
Can you pleaseeee do another without numpy random but instead real data??
what is that [ : ,None]?