Hello everyone and welcome to the data capstone project overview lecture and this lecture we're going
to be going over the new book Thirty nine on one called the capstone project.
Let's go ahead and jump to the Jupiter notebook to get started.
All right so here I am at the notebook this notebook is located under the Data capstone projects folder
.
And for this capstone project we're going to be analyzing some 911 call data from Kaggle dot com.
And if you go in and click on this link it will take you to the source of that data set right here.
Kaggle it's actually already downloaded as a CAC file for you so having to download anything.
But just as a quick overview background of where this data comes from comes from Kaggle dot com and
Kaggle if you click here on datasets takes you to this link and it's basically a place where you can
post data sets.
There's also a machine learning competition aspect to this Web site which we'll touch upon when we talk
about the machine learning section of this course.
But for now you can think of it as just a place where people can post data sets.
All right so these 911 calls come from Montgomery County in Pennsylvania and they contain the following
fields latitude longitude of where the call took place a description of the emergency call the Zip Code
Title a time stamp.
But notice it's a string not an actual date time object.
And then a township has a string and an address string and then that very last column E.
It's just a dummy variable it's always one.
So you can pretty much ignore that column completely and then you're going to go along with this notebook
and try to complete the instructions as best you can and you can always post-acute.
If you get stuck or you can actually just reference a solution note book or a video lecture which comes
up next you'll just go along import that data get everything set up explore the data a little bit through
some questions create new features from the data do a little bit of visualizations of bar plots do some
linear visualizations and then you'll actually also create some heat maps.
All right.
That's it for this lecture.
Best of luck on the capstone project.
I hope you enjoy it.
It's quite interesting.
And I will see you at the next lecture where we go through the solutions step by step.
Thanks everyone and I'll see you at the next lecture