From the course: Machine Learning and AI Foundations: Value Estimations

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Explore a home value data set

Explore a home value data set

From the course: Machine Learning and AI Foundations: Value Estimations

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Explore a home value data set

- [Instructor] Let's get started on our project by checking out the data set we'll be working with. The data set for this project is in the file called ml_house_data_set. Let's open it up. This is a simple comma-separated file that you can operate in a spreadsheet program like Microsoft Excel. However, the file is too large to open directly. There's over 40,000 houses in the data set so instead, we're going to use pandas to load the data set and create a table of the first 100 houses so that we can view it in our web browser. Let's close this and open up view_data.py. pandas makes loading data sets very easy. First we use the read_csv command to load the data into a data table. A data table is kind of like a virtual programmable spreadsheet. Once our data is in the data table object we can do many of the same calculations with the data that we could do in the spreadsheet application. Next we're going to grab the first 100 rows of data and use the to_html function to convert the data…

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