At  , a line in 6 dimentional space would need 5 coef, just like in 2 dimentional space only 1 coef is needed.(00:12:28 - 00:17:06) - Python Machine Learning Tutorial #3 - Linear Regression p.2

At , a line in 6 dimentional space would need 5 coef, just like in 2 dimentional space only 1 coef is needed.(00:12:28 - 00:17:06)
Python Machine Learning Tutorial #3 - Linear Regression p.2

In this python machine learning tutorial I will be showing you how to implement the linear regression algorithm to make predictions based on our data.
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In this python machine learning tutorial I will be showing you how to implement the linear regression algorithm to make predictions based on our data.
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#tech with tim #python tutorials #python machine learning for beginners #python machine learning #python linear regression #linear regression python #machine learning linear regression #machine learning linear regression python #machine learning tutorial 2019 #artificial intelligence
In Singaporean Maths,  is covered in 7th Grade. - Python Machine Learning Tutorial #3 - Linear Regression p.2

In Singaporean Maths, is covered in 7th Grade.

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:03:42 - 00:17:06
I learnt it as y = mx + c - Python Machine Learning Tutorial #3 - Linear Regression p.2

I learnt it as y = mx + c

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:03:48 - 00:17:06
gradient - Python Machine Learning Tutorial #3 - Linear Regression p.2

gradient

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:04:19 - 00:17:06
I don't know if  is correct. It should be predicting a linear map from two variables to one, since we predict a third value based of any two values. The issue is that the line would only make predictions for a subset of the two values used to predict. Not trying to be pedantic, just not sure if I am understanding correctly - Python Machine Learning Tutorial #3 - Linear Regression p.2

I don't know if is correct. It should be predicting a linear map from two variables to one, since we predict a third value based of any two values. The issue is that the line would only make predictions for a subset of the two values used to predict. Not trying to be pedantic, just not sure if I am understanding correctly

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:07:02 - 00:17:06
One question: In  you noticed that you made a slight mistake, and as a result, you swapped y_train with x_test. How did you understand that it's a case to swapped those two? In other words, what was your logic to figure it out from the error message? BTW. doing tutorials with mistakes is cool, I see it more beneficial than having a clean tutorial without mistakes and without explaining those mistakes. - Python Machine Learning Tutorial #3 - Linear Regression p.2

One question: In you noticed that you made a slight mistake, and as a result, you swapped y_train with x_test. How did you understand that it's a case to swapped those two? In other words, what was your logic to figure it out from the error message? BTW. doing tutorials with mistakes is cool, I see it more beneficial than having a clean tutorial without mistakes and without explaining those mistakes.

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:09:39 - 00:17:06
Does anyone know why at  Tim swaps the x_test and y_train variables??? Or more specifically why his original code produces the error? - Python Machine Learning Tutorial #3 - Linear Regression p.2

Does anyone know why at Tim swaps the x_test and y_train variables??? Or more specifically why his original code produces the error?

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:09:52 - 00:17:06
small question:  if I try to run the program from , it keeps giving the error: - Python Machine Learning Tutorial #3 - Linear Regression p.2

small question: if I try to run the program from , it keeps giving the error:

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:09:55 - 00:17:06
I'm using a different file from UCI and at  I'm getting this error: TypeError: fit() missing 1 required positional argument: 'y'. Anyone knows what this might indicate? Maybe my dataset doesn't have labels for Y attributes? - Python Machine Learning Tutorial #3 - Linear Regression p.2

I'm using a different file from UCI and at I'm getting this error: TypeError: fit() missing 1 required positional argument: 'y'. Anyone knows what this might indicate? Maybe my dataset doesn't have labels for Y attributes?

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:09:56 - 00:17:06
I got 0.81 XD - Python Machine Learning Tutorial #3 - Linear Regression p.2

I got 0.81 XD

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:10:03 - 00:17:06
is the 'acc' variable supposed to output different values? that's what's happening for me - Python Machine Learning Tutorial #3 - Linear Regression p.2

is the 'acc' variable supposed to output different values? that's what's happening for me

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:10:30 - 00:17:06
at  where the coeffiecients are prented, why are there 5 of them? what are those 5 variables? - Python Machine Learning Tutorial #3 - Linear Regression p.2

at where the coeffiecients are prented, why are there 5 of them? what are those 5 variables?

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:11:55 - 00:17:06
At  , a line in 6 dimentional space would need 5 coef, just like in 2 dimentional space only 1 coef is needed. - Python Machine Learning Tutorial #3 - Linear Regression p.2

At , a line in 6 dimentional space would need 5 coef, just like in 2 dimentional space only 1 coef is needed.

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:12:28 - 00:17:06
: I think it's a 6-dimensional space as a 2-dimensional space function depends of 1 coefficient, not 2. - Python Machine Learning Tutorial #3 - Linear Regression p.2

: I think it's a 6-dimensional space as a 2-dimensional space function depends of 1 coefficient, not 2.

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:12:30 - 00:17:06
).  at . But gr8 video anyway :-) - Python Machine Learning Tutorial #3 - Linear Regression p.2

). at . But gr8 video anyway :-)

Python Machine Learning Tutorial #3 - Linear Regression p.2
2019年01月19日 
00:14:12 - 00:17:06

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00:35:32 - 00:40:18
maybe its hard , but its fun for sureatleast for me - Junior Developers, Listen Up...

maybe its hard , but its fun for sureatleast for me

Junior Developers, Listen Up...
2024年02月25日  @SiddharthSharma-ei8os 様 
00:00:15 - 00:06:20
there I'd a soulotion and everything is possible but there is things that the way is just isn't worth it or so hard that you need to have a 10000 lifetime for it - Junior Developers, Listen Up...

there I'd a soulotion and everything is possible but there is things that the way is just isn't worth it or so hard that you need to have a 10000 lifetime for it

Junior Developers, Listen Up...
2024年02月25日  @shalevforfor5550 様 
00:02:37 - 00:06:20