Getting Started With IBM Watson Studio Machine Learning - Part 1 - Predicting Used Car Prices

Key Takeaways

what's happening guys welcome back today we're gonna be building a machine learning model that allows you to predict use car prices using IBM Watson machine learning studio now if you haven't dealt with what's a machine learning studio basically what it is is a done-for-you data science platform that allows you to do things like load up your data build a model train test and deploy via REST API it's a done-for-you data science environment it's got everything that you could possibly need and more now in this first video we're gonna go through how to get set up with what's a machine learning studio so without wasting any more time let's jump right into it okay so the first thing that we're going to do is head over to the cloud platform at IBM and that's just cloud IBM comm and hit enter now if you're not logged in already you'll be prompted to log in so just enter your password and you'll come to here if you don't have an IBM ID yet again you can go to IBM site and sign up for one of those it's all free you just need to register once you get to this dashboard what you're going to do is hit catalog then head over to AI and go to Watson studio so these are the first steps that you need to go through when you're setting up your environment once you've done this once you don't need to do it again so let's rename our service to what's in studio let's call it machine learning and the region you can change that if you want same as the resource group so mine just goes to default now if you scroll down a little bit further if you've got a bunch of different plans as in some of our other videos the light plans more than enough if you're just getting set up if you want some more grunt behind each of your machine learning models or behind you your environment in total you can take a look at the standard and enterprise instances so now lights more than enough so hit like and hit create now this will take a little bit of time but once it's set up you should be taken to this sort of dashboard play so from here you can sort of manage your plan and whatnot what's really important right now is just keep get started and this will take us to the Machine loading platform alrighty and we're here so this is really the main page for Watson studio from here you can create projects you can mess around with different things open up existing projects think you can collaborate with other community projects as well from here what's most important here is the project that you're going to be creating so in this case we're going to be creating a new project so hit create project and from here you've got a bunch of different types of projects that you can spin up now basically the difference between each one of these are the services that get spun up in the background to support your project now we don't really need one of these pre-built pipelines because we're going to be setting it up from scratch and spinning up the services that we need only rather than having stuff spun up by default so you can see here those that you've got some almost cookbook type environments if you want to get up and running so you've already got a data science style cookbook or project so you've got data notebooks visual recognition you've got a visual recognition model built in deep learning so you've got data you've got a model of flow the model and as well it's an experiment so a lot of these come with some pre-built or some pre setup services so because we're not really going to do it with a pre build environment we're gonna set up a new standard project let's hit standard or hover over standard and hit create project now here we're going because we're going to the model that we're going to be building is basically one where it's able to predict the price of used cars so we're going to call it use pricing model and we'll change the name and update the description and for now we'll leave everything the same will leave storage and we'll hit create and this should set up a new project now from here you'll be taken to your basically your project dashboard from there you can do a bunch of stuff so we can start uploading data we can start building our model testing training spinning up notebooks all that good data science stuff so give that a moment and it will spin up your project alrighty so now we're at the sort of dashboard page from here is where you can manage your entire model a few of the key buttons really quickly add to project so if you click this there's a bunch of stuff that you can add so you can add data can add data connections notebooks you can set up dashboards use modeler flow I believe that's SPSS you can create experiments you can use what's a machine learning models which we'll be using later you can use natural language classifier as a HEPA stuff you can do just by hitting add to project now you can also hit the menu and there's a bunch of other stuff so you can see your other projects as well as the services you've got spun up if you hit assets this is where your data and different services will be available as well as your environments are the different Python environments and our environments that sit behind this instance now that's really a bit of a crash course in terms of the Watson machine learning studio environment in the next video we're going to go through how to load up our data as well as how to start visualizing that data so stay tuned we're going to jump over to that in a minute now if you found this video useful be sure to share like and subscribe it peace