Great video! While playing around with the messages I found the model decided "we have been trying to reach you about your cars extended warranty" is ham haha. Other messages were no issue though.
I really hope someone will HELP me in my case so I built a similar spam detector for my college project but my professor is saying that it is a data science project that is why I want to give it a touch of cybersecurity so what should I add in this project to make it more specific to cyber security ?
So I have gone through your entire videos And trust me as an engineering student you have awesome videos. But if you can focus your teaching with project based then you will have a lot of views Example the videos your have on linear regression, support vector machine and the rest But this is amazing Thanks so much
Thank you so much for the kind words and feedback. I'll have to make a new project video soon. Do you have any requests about a type of project I should do a video about in the future?
Hi, thanks a lot for the video. It is very informative and very well explained. I have a curiosity, where did you get the email database from? Thank you in advance.
This video details the algorithm we can use for classifying any text/string and is very general. But it is only a binomial classification with the only options being 'spam' or 'not spam.' This can be implemented inside of another program that inputs text/strings into this model we've built. Which means it could be implemented in a cloud computer setting or just for general emails.
Sorry for the delay. You can find the dataset I used in the description or here: github.com/NStugard/Intro-to-Machine-Learning/blob/main/spam.csv You can save it to your local machine by right-clicking the button that says "Raw," then "Save link as," then saving it as "spam.csv"
Great video! While playing around with the messages I found the model decided "we have been trying to reach you about your cars extended warranty" is ham haha. Other messages were no issue though.
This is naive video, i understood whole concept in just 30 minutes. Thank you.
very awesome video and demonstration! Insane to me how this works. one of those things as CS student that gets me excited!
hey there nice explanation Thanks a lot !
nicely explained and easy to understand
wish we had professors like you in our college
Such a simple and greatly explained video. Thanks man
thank you, i can learn a lot from you
Awesome Video Learned a lot
please can you provide the link of written script
Hi there. Good video. Please, what screen record did you use ?
I used the free version of Logitech Capture
@@nickstugard9062 thank you
Will you provide github project link
For full souce code
I really hope someone will HELP me in my case so I built a similar spam detector for my college project but my professor is saying that it is a data science project that is why I want to give it a touch of cybersecurity so what should I add in this project to make it more specific to cyber security ?
Nicely explained... thanks
Thank you for the kind words
So I have gone through your entire videos
And trust me as an engineering student you have awesome videos. But if you can focus your teaching with project based then you will have a lot of views
Example the videos your have on linear regression, support vector machine and the rest
But this is amazing
Thanks so much
Thank you so much for the kind words and feedback. I'll have to make a new project video soon. Do you have any requests about a type of project I should do a video about in the future?
Thank you man!
Hi, thanks a lot for the video. It is very informative and very well explained. I have a curiosity, where did you get the email database from? Thank you in advance.
why when i upload the dataset make this eroor Error tokenizing data. C error: Expected 2 fields in line 13, saw 4
Can you provide github project link containing full source code
Legend
Thank you so much sir ☺️
is this realated with cloud coumputing or general mails??/
This video details the algorithm we can use for classifying any text/string and is very general. But it is only a binomial classification with the only options being 'spam' or 'not spam.' This can be implemented inside of another program that inputs text/strings into this model we've built. Which means it could be implemented in a cloud computer setting or just for general emails.
where is the code file?
Please can you link the dataset you used. Really good video btw. Very well explained.
Sorry for the delay. You can find the dataset I used in the description or here:
github.com/NStugard/Intro-to-Machine-Learning/blob/main/spam.csv
You can save it to your local machine by right-clicking the button that says "Raw," then "Save link as," then saving it as "spam.csv"
And thank you for the kind words
No problem at all. Thank you very much
Can u please provide the code 🙂🙂🙂🙂
Hoe to deploy this plsss