Python Machine Learning Tutorial #2 - Linear Regression

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In today's episode we are starting by talking about the first supervised learning algorithm which is linear regression.

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the explanation was very clear without any confusion

adithyavemuri
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thank you for sharing such awesome knowledge

AADIPRAKASHMANCHEKARBIT
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i got 0.9217586525006328 accuracy thanks mate! will continue on learning.

chevngko
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What is the use of those numbers that we got during testing data

greenalien
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how would this look like for 3 dimensional case?

adamasadis
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Is there a reason you don't use the scipy.optimize.curve_fit ? since you can input what kind of function you want it to use as a model?, and you don't have to reshape your data.

djmadslegardnielsen
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Are you not missing multiple linear regression?

ramazanmengi
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Hey buddy¡ what reshape .i didnt get it while it was predectin

jaymeenjogiya
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why it says me: No module named 'matplotlib' ?

alebu
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You are not a true Data Scientist unless you use Python notebooks lol.

primeroyal
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