<p>Has a data set been chosen? There's a wide variety of data out there (see <a href="https://www.kaggle.com/datasets" rel="nofollow noreferrer">this</a>, <a href="https://gengo.ai/datasets/the-50-best-free-datasets-for-machine-learning/" rel="nofollow noreferrer">this</a>, or <a href="https://www.forbes.com/sites/bernardmarr/2018/02/26/big-data-and-ai-30-amazing-and-free-public-data-sources-for-2018/" rel="nofollow noreferrer">this</a>).  Analytical possibilities are largely determined by the available data, so choosing your data would probably help to clarify your objectives.</p>

CC BY-SA 4.0
2018-09-26T19:58:40.653Z
2018-09-26T19:58:40.653Z
sfmiller940
<p>I am trying to think of some marketing-related classification challenges that a feed-forward neural network would be suited for. </p>

<p>Any ideas?</p>

<neural-networks><classification><feedforward-neural-networks>
Which marketing-related classification challenges is a feed forward neural network suited to solve?
Ryan Cameron
# Which marketing-related classification challenges is a feed forward neural network suited to solve?

(Asked by: username_0 on 2018-09-23)

I am trying to think of some marketing-related classification challenges that a feed-forward neural network would be suited for.

Any ideas?

**Tags:** neural-networks, classification, feedforward-neural-networks


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## 1 answers

### Answer by username_1 on 2018-09-26. Score: -1

Has a data set been chosen? There's a wide variety of data out there (see [this](https://www.kaggle.com/datasets), [this](https://gengo.ai/datasets/the-50-best-free-datasets-for-machine-learning/), or [this](https://www.forbes.com/sites/bernardmarr/2018/02/26/big-data-and-ai-30-amazing-and-free-public-data-sources-for-2018/)). Analytical possibilities are largely determined by the available data, so choosing your data would probably help to clarify your objectives.


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