From the course: Artificial Intelligence Foundations: Neural Networks
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Use case and determine evaluation metric
From the course: Artificial Intelligence Foundations: Neural Networks
Use case and determine evaluation metric
- [Instructor] To improve profits, organizations spend money advertising products and services. The channels they choose to advertise on can range from digital media to newspapers. One typical use case organizations encounter is how to optimally allocate budgets across marketing channels and measure the true contribution of each channel or campaign. They also need to predict or forecast sales given historical data from each channel or campaign. The dataset is composed of historical marketing channel data that can be leveraged to gain insights for spend allocation and to predict sales. The use case is a simple linear regression problem with just five variables. You have been asked to build this sales predictive model, and recall that neural networks are excellent for finding patterns and datasets. So for your simple neural network, you will build, train, and evaluate a prediction model for sales using the Keras…
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Contents
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The Keras Sequential model4m 20s
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(Locked)
Use case and determine evaluation metric5m 25s
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(Locked)
Data checks and data preparation2m 48s
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(Locked)
Data preprocessing2m 11s
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(Locked)
Train the neural network using Keras6m 26s
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(Locked)
Challenge: Build a neural network51s
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(Locked)
Solution: Build a neural network4m 4s
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