Here is the script used in this video for anyone who doesn't have time to type it out: library("e1071") plot(iris) plot(iris$Sepal.Length, iris$Sepal.Width, col=iris$Species) plot(iris$Petal.Length, iris$Petal.Width, col=iris$Species) s
This video was a great help! Thank you! when I try and view the data in a table instead of in a histogram (near the end of the video), I get an error that "all arguments must be the same length"
You have covered pretty much everything in this video but I guess at some points I need some explanation. If u can please answer my questions. 1) On what basis you actually defined the range values for the cost variable? 2) I was reading their practical guide and I found that 'Gamma' is also as important as 'Cost' but u never discussed anything. 3) I know that at the end we are calculating the mean value which actually representing the system accuracy. Can you tell me what this 'number of vectors' is representing? Like i am solving a two spiral problem so i am getting 130 no. of vectors. I am curious cuz i am just passing 132 rows of data. Is that bad or good ? or how do you interpret? I would be very thankful to you if you can answer my questions.
i plot my model, but it doesnt display the plot. plot(modelsvm, dataTrain[,c]) ^ modelsvm is same as your svmfit and dataTrain is same as your iris_train and c is same as your col how did i fix this ?
Have not tried using SVM for time series forecasting however seems doable stackoverflow.com/questions/31048964/time-series-forecasting-using-support-vector-machine
Here is the script used in this video for anyone who doesn't have time to type it out:
library("e1071")
plot(iris)
plot(iris$Sepal.Length, iris$Sepal.Width, col=iris$Species)
plot(iris$Petal.Length, iris$Petal.Width, col=iris$Species)
s
thank you for your time taken
THANKSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSS
tq
@@Jaime-sf8ep run the following either at the top of the script (one time only) or directly in the console:
install.packages("e1071")
amazing melvin..what a free flow and for lay man like me ..its easy to understand
Tnk man. You saved me. Grettings from Mexico!
thank you very much, this video very cleary explanation dan very helpful bro
Keep going
Regards from Indonesia.
GREAT video. Thank you so much
“Introduction to Machine Learning With R” O’Reilly books are pretty good
Excellent Video! Very well explained! Could you maybe do another one for One-Class SVM?
Really nice, simple and useful code! thank you
I really the way the explanation was , it was very good .
can someone explain the plot step to me? i'm confused on what iris_train[,col] means
This video was a great help! Thank you!
when I try and view the data in a table instead of in a histogram (near the end of the video), I get an error that "all arguments must be the same length"
Impressive demo
Good work, does the features (no of features) affect the optimal hyperplane
You have covered pretty much everything in this video but I guess at some points I need some explanation. If u can please answer my questions.
1) On what basis you actually defined the range values for the cost variable?
2) I was reading their practical guide and I found that 'Gamma' is also as important as 'Cost' but u never discussed anything.
3) I know that at the end we are calculating the mean value which actually representing the system accuracy. Can you tell me what this 'number of vectors' is representing? Like i am solving a two spiral problem so i am getting 130 no. of vectors. I am curious cuz i am just passing 132 rows of data. Is that bad or good ? or how do you interpret?
I would be very thankful to you if you can answer my questions.
Sir, how to identify the important variables in SVM when we have a set of variables?
When I tried to make "iris_train
try this code:
library(e1071)
plot(iris$Petal.Width, iris$Petal.Length, col=iris$Species)
iris_train
Please, how can we install the e1071 package ?
you can input: install.packages("e1071")
This seems to be inspired from Patrick Winston's lecture on SVM from MIT. Great work nevertheless :)
could you please explain svm with a simple example by using data for binary classification
Nice explanation :)
Thanks really for this video please could you give us an example of non linear svm classification and thank you
i plot my model, but it doesnt display the plot.
plot(modelsvm, dataTrain[,c])
^ modelsvm is same as your svmfit and dataTrain is same as your iris_train and c is same as your col
how did i fix this ?
Your variable corresponding to "Species" in the iris dataset has to be in the format "factor" ;)
attempting to do this on a different data set but cannot identify two classifiers that appear to be linearly separable, any suggestions?
good video. is there a github link or website with the code?
Can we use SVM for time series forecasting? I do not have any feature set other than year, week & sales (in units)...
Have not tried using SVM for time series forecasting however seems
doable stackoverflow.com/questions/31048964/time-series-forecasting-using-support-vector-machine
how many karnels type that we have for SVM ?
Sorry to ask, do you offer private lessons?thanks
Thanks for asking but I don’t do any private lessons
could you please help me, I have a class with 8 levels. how would I use svm to create the 8 levels ???
HI all, I new to R, can some explain why iris_test=iris[-s, col] returns 50 observations?
It's because the code: s
great thank u.
with which data or when we can use SVM ? plz
is good with numeric data?
should we convert our numeric data to factors?.....
vectors
When i tried to execute this piece of code iris_train
did you get an answer?
Hello there I used R studio but I got this error:
Package 'e1701' was built under version 3.2.5
How can I update my R studio?
Many thanks
There's a package called "installr" that can update you to the latest version
Why aren't you scaling the data?
too fast. could not get use of cost and tuned properly.
"Er... Er... Er... Er... Er... Er..." How _fascinating_ !
how do you install the SVM package
install.packages('packagename')