- [Instructor] In this video,
let's have a look at how you'll go about
building your own models here
in the Azure Machine Learning Studio.
So the first thing we want to do is import some data,
so if you look on the left-hand side of your screen,
there's datasets, and I'm gonna click on datasets.
Now I'm going to move to the bottom left
and click on the button add new.
From here, we can click on from local file,
click on choose file,
and inside of your Exercise Files, is 01-04-Media.csv.
Let's click on that.
And now we're going to click on the OK button.
And we can see that we get a status bar
of our data uploading.
It says uploading a new data set 01-04-Media.csv.
Okay, so you can see that our data has now uploaded,
we get a message that says,
Upload of data set 01-04 has completed.
So the next thing we wanna do is to start a new experiment.
So in the left-hand menu, let's click on experiments.
The bottom left, let's click on new,
and now we get a menu
and I'm going to choose Blank Experiment.
Now to get started, let's bring up the data
that we just uploaded a moment ago,
and so we can see that
we have Saved Datasets in this left-hand side,
we've got a category called My Datasets.
And there's our file 01-04.
What you can do is you can just click
and drag and bring that over to our canvas,
and drop that right on the canvas,
and that begins our experiment.
The next thing we wanna do is we want to split our data,
and so you can use the search bar in the top left.
Let's search for split,
and we can do the same thing by grabbing split data
and dragging that over and dropping that onto our canvas.
In this particular example,
we're going to run a linear regression algorithm,
so I'm going to use the search bar in the top left again,
and search for linear regression,
and also bring that over onto our canvas.
And then lastly, we wanna bring in Train Model.
And so one more search there,
and drop that onto our canvas as well.
Now, the next thing we want to do
is we want to connect these different modules,
and so we're going to click and drag down to Split Data,
and so we just clicked on 01-04-Media.csv
and dragged that down to connect it to the Split Data.
We're now going to connect our linear regression algorithm
to our Train Model, and we're gonna connect the Split Data
to the Train Model as well.
Now, we can choose the variable
we want to predict by clicking on Launch column selector,
and what we're trying to predict here
is the overall cost per action.
Click the checkbox.
Now, you can run the model and see the output.
And now that our model has finished running,
what we can do is we can right-click on Train Model,
and we can click on Trained model
and Visualize to see the output from our model being run.
So in this video, you saw
how to import data with the Azure Machine Learning Studio
and you saw how to create your own model.
The output from this process can be used
by your marketing programs
to predict what media will be the most effective.