All of the code that you need in this entire course, all the code files, the additional resources,
the extra data files, everything you need to download for this course is available in the resources
folder, in this particular video.
This video that you are watching right now.
So if you look on the Udemy screen off to the right, you see here's all of the different sections and
so on.
This is the video that we are watching right now.
Download materials for this entire course.
You see this little resource's button here.
Click on this and then click on this.
This will download a zip file locally onto your computer.
You need this file so you can put the zip file somewhere convenient on your on your computer.
And if you look inside the zip file, you will see that there is a folder for each section of the course.
So, for example, this one is confidence intervals.
This is the section for correlation.
Now, if you go into each one of these folders, you will see some additional files.
So there's going to be all of the Python files.
So these are all I python.
So Jupiter format Python notebooks.
And then you see a bunch of map files and our M files from Matlab.
And there's actually looks like there's two of them for each lecture.
So it's actually going on is that there is the main file that you would use for Matlab.
And then if you are working in octave, because either you don't have access to Matlab or because you
have access to Matlab, but not these statistics and machine learning tool box, then you can use the
octave program with the statistics package installed.
So you can see that all the files for Octave are called Oct four octave and then the ones for Matlab
are don't have the octave them, of course.
The last thing I want to mention here is just a quick overview of how each individual code video will
work.
So I will start off with a screen in Matlab.
It's going to look something like this.
Now, in the beginning of the coding video for the first few seconds or maybe a few tens of seconds,
I'm going to provide some general background about the overview of the entire video.
So whether you're watching in Matlab or in Python, you want to watch the beginning a little bit of
the video and at some point I'm going to have a window pop up in the screen that's going to say something
like this python code starts at some timestamp.
So if you are following along in Matlab, you just ignore this and continue watching in Matlab.
If you're following along with the Python code, then this is your opportunity to skip over the rest
of the Matlab explanation.
So in this case, you would just skip over two minute 10, second 40.
And that's when I start showing all the same the same basic code implemented in Python.
Now, just keep in mind that the concepts are basically the same in Matlab.
In Python, the implementations are sometimes very similar, sometimes quite a bit different.
So if you are not following along with code, but you're still watching the code videos because you
want to learn more material, then you don't need to watch both Matlab and Python.
You can just watch one or the other.
Probably it's more convenient just to watch that the Matlab sections, because then you're off to worry
about hunting down this particular time slot.
So just again, as a quick reminder, I will say a few quick words in the beginning of the video, and
then you either switch to the Python timestamp or you continue watching in Matlab.
And then when I switch to Python, if you were watching in Matlab that, would you be your opportunity
to skip to the next video?