From the course: Building and Deploying Deep Learning Applications with TensorFlow
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Load the data set - TensorFlow Tutorial
From the course: Building and Deploying Deep Learning Applications with TensorFlow
Load the data set
- [Instructor] For this course I provided the data set of video games sold by an imaginary video game retailer. We'll use this data to train the neural network that will predict how much money we can expect future video games to earn based on our historical data. First, let's open up the data and take a look at it in the spreadsheet application. The data is in a file called sales_data_training.csv. I've already opened it up here in my spreadsheet application. In this data set we have one row for each video game title that our store has sold in the past. For each video game, we've recorded several attributes. First, we have critic_rating, which is an average star rating out of the five stars. Next, is_action, which tells us if this is an action game, is_exclusive_to_us, which tells us if we have an exclusive deal to sell this game, is_portable, which tells us if this game runs on the handheld video game player, is_role_playing, which tells us this is a role-playing game, which is a…
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