- Python Machine Learning Tutorial #1 - Introduction

Python Machine Learning Tutorial #1 - Introduction

This is my 2019 python machine learning tutorial introduction. In this video we go through setting up tensorflow and sklearn so that we are ready to start coding some cool machine learning projects!
⭐ Kite is a free AI-powered coding assistant for Python that will help you code smarter and faste...
This is my 2019 python machine learning tutorial introduction. In this video we go through setting up tensorflow and sklearn so that we are ready to start coding some cool machine learning projects!
⭐ Kite is a free AI-powered coding assistant for Python that will help you code smarter and faster. Integrates with Atom, PyCharm, VS Code, Sublime, Vim, and Spyder. I've been using Kite for 6 months and I love it! https://kite.com/download/?utm_medium=referral&utm_source=youtube&utm_campaign=techwithtim&utm_content=description-only

To have access to all resources and code seen in future videos visit my website!

WEBISTE: https://techwithtim.net/tutorials/machine-learning-python

Anaconda Download: https://www.anaconda.com/download/
Pycharm Download: https://www.jetbrains.com/pycharm/download/#section=windows

Installing TensorFlow GPU Tutorial: https://www.youtube.com/watch?v=KZFn0dvPZUQ&t=5s

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"Even skipping like 30 seconds of the video, you could miss an important thing" - Python Machine Learning Tutorial #1 - Introduction

"Even skipping like 30 seconds of the video, you could miss an important thing"

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:00:28 - 00:02:27
is bad when i skipped the  when you told me not to skip anything? - Python Machine Learning Tutorial #1 - Introduction

is bad when i skipped the when you told me not to skip anything?

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:01:20 - 00:11:28
Me: Skips to"So without further ado...." lol - Python Machine Learning Tutorial #1 - Introduction

Me: Skips to"So without further ado...." lol

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:02:27 - 00:11:28
first  is junk - Python Machine Learning Tutorial #1 - Introduction

first is junk

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:04:00 - 00:11:28
Make sure at  to type python EQUALS 3.6.I didn't listen and typed MINUS.That did cost me a whole hour :DDD - Python Machine Learning Tutorial #1 - Introduction

Make sure at to type python EQUALS 3.6.I didn't listen and typed MINUS.That did cost me a whole hour :DDD

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:04:50 - 00:11:28
now python 3.7 is supported.now can we enter 3.7 instead of 3.6 - Python Machine Learning Tutorial #1 - Introduction

now python 3.7 is supported.now can we enter 3.7 instead of 3.6

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:05:02 - 00:11:28
? And if yes would the procedure be same except the part  where instead of python=3.6 we write python=3.8 - Python Machine Learning Tutorial #1 - Introduction

? And if yes would the procedure be same except the part where instead of python=3.6 we write python=3.8

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:05:07 - 00:11:28
- my command prompt didn't pop up any question that asking us if we want to install or not. How can I solve this?? - Python Machine Learning Tutorial #1 - Introduction

- my command prompt didn't pop up any question that asking us if we want to install or not. How can I solve this??

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:05:12 - 00:11:28
Error "could not find conda enviroment: tensor"does anyone know a solution? - Python Machine Learning Tutorial #1 - Introduction

Error "could not find conda enviroment: tensor"does anyone know a solution?

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:05:27 - 00:11:28
help!   whenever i write "activate tensor" i get the error"Access is denied.Access is denied.The system cannot find the file \conda-5730-8543.tmp.Could Not Find C:\conda-5730-8543.tmp
"edit: hey guys, to solve this error i just ran the cmd as administrator - Python Machine Learning Tutorial #1 - Introduction

help! whenever i write "activate tensor" i get the error"Access is denied.Access is denied.The system cannot find the file \conda-5730-8543.tmp.Could Not Find C:\conda-5730-8543.tmp "edit: hey guys, to solve this error i just ran the cmd as administrator

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:05:35 - 00:11:28
" at  in the video, rather than just "pip install tensorflow". The current default version of tensorflow is 2.1.0, which will throw a "DLL not found" error if you try to use it along with the rest of the setup that Tim goes over. I only know this due to a discussion in one his Discord channels. That only took three hours to figure out 8^(. - Python Machine Learning Tutorial #1 - Introduction

" at in the video, rather than just "pip install tensorflow". The current default version of tensorflow is 2.1.0, which will throw a "DLL not found" error if you try to use it along with the rest of the setup that Tim goes over. I only know this due to a discussion in one his Discord channels. That only took three hours to figure out 8^(.

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:06:00 - 00:11:28
yours only webcam doesn't like pycharmbut my whole laptop doesn't like pycharm - Python Machine Learning Tutorial #1 - Introduction

yours only webcam doesn't like pycharmbut my whole laptop doesn't like pycharm

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:07:20 - 00:11:28
did you follow the instructions at - Python Machine Learning Tutorial #1 - Introduction

did you follow the instructions at

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:07:35 - 00:11:28
I don't get anything like this at - Python Machine Learning Tutorial #1 - Introduction

I don't get anything like this at

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:08:19 - 00:11:28
Anaconda3 > envs = empty :( - Python Machine Learning Tutorial #1 - Introduction

Anaconda3 > envs = empty :(

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:09:00 - 00:11:28
i followed the steps but at time  i don't see a folder called tensorflow, and in pycharm my venv folder is showing in red. What went wrong? - Python Machine Learning Tutorial #1 - Introduction

i followed the steps but at time i don't see a folder called tensorflow, and in pycharm my venv folder is showing in red. What went wrong?

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:09:06 - 00:11:28
Hi, what if I have a Macbook? So what should I choose instead of pythonw.exe in ? - Python Machine Learning Tutorial #1 - Introduction

Hi, what if I have a Macbook? So what should I choose instead of pythonw.exe in ?

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:09:08 - 00:11:28
I can't find "pythonw.exe" in - Python Machine Learning Tutorial #1 - Introduction

I can't find "pythonw.exe" in

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:09:08 - 00:11:28
, what is the purpose of creating a configuration? - Python Machine Learning Tutorial #1 - Introduction

, what is the purpose of creating a configuration?

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:09:34 - 00:11:28
tensorEnv nowhere to be found :( - Python Machine Learning Tutorial #1 - Introduction

tensorEnv nowhere to be found :(

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:09:44 - 00:11:28
Chek out  at the run/debug configuration window it says file already exits. What ı am doing wrong ? - Python Machine Learning Tutorial #1 - Introduction

Chek out at the run/debug configuration window it says file already exits. What ı am doing wrong ?

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:09:50 - 00:11:28
around  i cannot get python 3.6 to appear - it always comes out as python 3.7. however, tensorflow now works with 3.7, but whatever the reason, i keep getting:C:\Users\xyz\Anaconda3\envs\tensor\pythonw.exe: can't find '__main__' module in 'A:/TRAINING COURSES IN USE/PYTHON/Python Machine Learning - Tim/tensorEnv'maybe this is because my environment is not on the C drive? most people with this error have not saved the py file, but i have definitely done this! - Python Machine Learning Tutorial #1 - Introduction

around i cannot get python 3.6 to appear - it always comes out as python 3.7. however, tensorflow now works with 3.7, but whatever the reason, i keep getting:C:\Users\xyz\Anaconda3\envs\tensor\pythonw.exe: can't find '__main__' module in 'A:/TRAINING COURSES IN USE/PYTHON/Python Machine Learning - Tim/tensorEnv'maybe this is because my environment is not on the C drive? most people with this error have not saved the py file, but i have definitely done this!

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:09:50 - 00:11:28
i keep gettin dll error wheni test it { like at time  } and im not sure where to go from here.. help. - Python Machine Learning Tutorial #1 - Introduction

i keep gettin dll error wheni test it { like at time } and im not sure where to go from here.. help.

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:10:00 - 00:11:28
anyone can help? - Python Machine Learning Tutorial #1 - Introduction

anyone can help?

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:10:12 - 00:11:28
chip, and I have followed this guide pretty well (I think), but when I run after installing tensorflow (as done at ), I get - Python Machine Learning Tutorial #1 - Introduction

chip, and I have followed this guide pretty well (I think), but when I run after installing tensorflow (as done at ), I get

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:10:16 - 00:11:28
got this error atImportError: DLL load failed: The specified module could not be found - Python Machine Learning Tutorial #1 - Introduction

got this error atImportError: DLL load failed: The specified module could not be found

Python Machine Learning Tutorial #1 - Introduction
2019年01月17日
00:10:40 - 00:11:28

Tech With Tim

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probably should have spend a lot of time to figure out the " taregt" :-D  . BTW thanks tim for providing this kind of valuable video ❤️ - Python Machine Learning Tutorial #12 - Implementing K-Means Clustering

probably should have spend a lot of time to figure out the " taregt" :-D . BTW thanks tim for providing this kind of valuable video ❤️

Python Machine Learning Tutorial #12 - Implementing K-Means Clustering
2019年01月28日
00:10:49 - 00:12:34
you can see at lower right side that red area denotes 4,  and brown 9........ - Python Machine Learning Tutorial #11 - How K Means Clustering Works

you can see at lower right side that red area denotes 4, and brown 9........

Python Machine Learning Tutorial #11 - How K Means Clustering Works
2019年01月27日
00:02:04 - 00:13:47
Where's Wally? - Python Machine Learning Tutorial #11 - How K Means Clustering Works

Where's Wally?

Python Machine Learning Tutorial #11 - How K Means Clustering Works
2019年01月27日
00:08:36 - 00:13:47
yes I am also here and plz man upload more videos i am so lucky to watch these videos but i guess you stop this series... - Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM

yes I am also here and plz man upload more videos i am so lucky to watch these videos but i guess you stop this series...

Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM
2019年01月26日
00:00:30 - 00:10:05
yes I am still here... and PLZ PLZ add more videos to this series - Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM

yes I am still here... and PLZ PLZ add more videos to this series

Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM
2019年01月26日
00:00:30 - 00:10:05
I got 0.8859 xD don't see the problem lol and 2nd try 0.9122 - Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM

I got 0.8859 xD don't see the problem lol and 2nd try 0.9122

Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM
2019年01月26日
00:03:31 - 00:10:05
at , I got 10 times in a row ~0.9I also got no warning - Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM

at , I got 10 times in a row ~0.9I also got no warning

Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM
2019年01月26日
00:03:37 - 00:10:05
holy crap i got the exact same number as u ...or is getting similar accuracies common with a kernel? - Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM

holy crap i got the exact same number as u ...or is getting similar accuracies common with a kernel?

Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM
2019年01月26日
00:04:45 - 00:10:05
lmao love you Tim xP haha @ - Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM

lmao love you Tim xP haha @

Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM
2019年01月26日
00:06:38 - 00:10:05
Cool video! At min  Tim says that unsupervised learning is "like the stuff neural networks do". But I thought neural networks are always supervised (you have to provide the labels). Am I wrong? Can you provide me with some examples/neural network techniques that are unsupervised? - Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM

Cool video! At min Tim says that unsupervised learning is "like the stuff neural networks do". But I thought neural networks are always supervised (you have to provide the labels). Am I wrong? Can you provide me with some examples/neural network techniques that are unsupervised?

Python Machine Learning Tutorial #10 - SVM P.3 - Implementing a SVM
2019年01月26日
00:09:20 - 00:10:05
D plot , shouldnt x2 and x3 be switched?Btw good job on the lessons, helped me a lot. - Python Machine Learning Tutorial #9 - SVM P.2 - How Support Vector Machines Work

D plot , shouldnt x2 and x3 be switched?Btw good job on the lessons, helped me a lot.

Python Machine Learning Tutorial #9 - SVM P.2 - How Support Vector Machines Work
2019年01月25日
00:08:10 - 00:14:21
I think at  x3 and x2 are inverted, no ? - Python Machine Learning Tutorial #9 - SVM P.2 - How Support Vector Machines Work

I think at x3 and x2 are inverted, no ?

Python Machine Learning Tutorial #9 - SVM P.2 - How Support Vector Machines Work
2019年01月25日
00:09:00 - 00:14:21
I am getting the following error at  (min:sec) during Tutorial #7 videoprint("Predicted: ", names[predicted[x]], "Data: ", x_test[x], "Actual: ", names[y_test[x]])IndexError: list index out of rangeCan you shed some light as how to address this error? Thanks. - Python Machine Learning Tutorial #7 - KNN p.3 - Implementation

I am getting the following error at (min:sec) during Tutorial #7 videoprint("Predicted: ", names[predicted[x]], "Data: ", x_test[x], "Actual: ", names[y_test[x]])IndexError: list index out of rangeCan you shed some light as how to address this error? Thanks.

Python Machine Learning Tutorial #7 - KNN p.3 - Implementation
2019年01月23日
00:06:50 - 00:11:09
but i am color blind bro :( - Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?

but i am color blind bro :(

Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?
2019年01月22日
00:01:11 - 00:13:45
TECH WITH TIM! You said "a odd number" INSTEAD OF "an odd number." - Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?

TECH WITH TIM! You said "a odd number" INSTEAD OF "an odd number."

Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?
2019年01月22日
00:05:34 - 00:13:45
What about you get the 5 nearest neighbours to be 2 greens, 2 blues and 1 red?You can also have a tie in terms of distance if the data uses enough big units, and so you have no nearest point but rather nearest two points for example. - Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?

What about you get the 5 nearest neighbours to be 2 greens, 2 blues and 1 red?You can also have a tie in terms of distance if the data uses enough big units, and so you have no nearest point but rather nearest two points for example.

Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?
2019年01月22日
00:05:45 - 00:13:45
You've got a slight (albeit very important) mistake at about . You have to weigh the distances, not enumerate them. - Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?

You've got a slight (albeit very important) mistake at about . You have to weigh the distances, not enumerate them.

Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?
2019年01月22日
00:06:00 - 00:13:45
Wouldn't a KNN working with percentages solve this problem? - Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?

Wouldn't a KNN working with percentages solve this problem?

Python Machine Learning Tutorial #6 - KNN p.2 - How does K Nearest Neighbors Work?
2019年01月22日
00:10:58 - 00:13:45
- you said data se x not data sets - Python Machine Learning Tutorial #5 - KNN p.1 - Irregular Data

- you said data se x not data sets

Python Machine Learning Tutorial #5 - KNN p.1 - Irregular Data
2019年01月21日
00:01:38 - 00:12:55
at   I think you can right click on emply space on coding workspace and select run 'filename'   i think right click is easier option - Python Machine Learning Tutorial #5 - KNN p.1 - Irregular Data

at I think you can right click on emply space on coding workspace and select run 'filename' i think right click is easier option

Python Machine Learning Tutorial #5 - KNN p.1 - Irregular Data
2019年01月21日
00:04:58 - 00:12:55
Shouldn't be the values of the buying-list () be in range from 3 to 0 or 4 to 1 instead of 3 to 1? Because "very high", "high", "med" and "low" are four attributes. - Python Machine Learning Tutorial #5 - KNN p.1 - Irregular Data

Shouldn't be the values of the buying-list () be in range from 3 to 0 or 4 to 1 instead of 3 to 1? Because "very high", "high", "med" and "low" are four attributes.

Python Machine Learning Tutorial #5 - KNN p.1 - Irregular Data
2019年01月21日
00:09:55 - 00:12:55
please help with hotkeys for this action - Python Machine Learning Tutorial #4 - Saving Models & Plotting Data

please help with hotkeys for this action

Python Machine Learning Tutorial #4 - Saving Models & Plotting Data
2019年01月20日
00:06:28 - 00:13:43
Wouldn't it be more convenient just just to train the model and then if the accuracy was over 95 then writing the file? - Python Machine Learning Tutorial #4 - Saving Models & Plotting Data

Wouldn't it be more convenient just just to train the model and then if the accuracy was over 95 then writing the file?

Python Machine Learning Tutorial #4 - Saving Models & Plotting Data
2019年01月20日
00:07:18 - 00:13:43
I'm sorry, a little bit late but could you explain why you did that at ?  Thanks! - Python Machine Learning Tutorial #4 - Saving Models & Plotting Data

I'm sorry, a little bit late but could you explain why you did that at ? Thanks!

Python Machine Learning Tutorial #4 - Saving Models & Plotting Data
2019年01月20日
00:07:27 - 00:13:43
Is there a way for us to confirm that the model we saved at  has the highest accuracy? best is just equal to zero... then we don't change the best value anymore... so as soon as accuracy is bigger than 0 it will save the model... hummm.. - Python Machine Learning Tutorial #4 - Saving Models & Plotting Data

Is there a way for us to confirm that the model we saved at has the highest accuracy? best is just equal to zero... then we don't change the best value anymore... so as soon as accuracy is bigger than 0 it will save the model... hummm..

Python Machine Learning Tutorial #4 - Saving Models & Plotting Data
2019年01月20日
00:08:50 - 00:13:43
At  and I'm getting aNameError: name 'style' is not defined - Python Machine Learning Tutorial #4 - Saving Models & Plotting Data

At and I'm getting aNameError: name 'style' is not defined

Python Machine Learning Tutorial #4 - Saving Models & Plotting Data
2019年01月20日
00:10:43 - 00:13:43
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