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Merge pull request #7 from katrinleinweber/patch-1

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Jeremy Howard 2020-02-29 10:30:22 -08:00 committed by GitHub
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01_intro.ipynb
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"source": [
"This model is using the *adult* dataset, from the paper [Scaling Up the Accuracy of Naive-Bayes Classifiers: a Decision-Tree Hybrid](https://archive.ics.uci.edu/ml/datasets/adult), which contains some data regarding individuals (like their education, marital status, race, sex, etc.) and whether or not they have an annual income greater than \\$50k. The model is over 80\\% accurate, and took around 30 seconds to train.\n",
"\n",
"Let's look at one more. Recommendation systems are very important, particularly in e-commerce. Companies like Amazon and Netflix try hard to recommend products or movies which you might like. Here's how to train a model which will predict which people might like which movie, based on their previous viewing habits, using the [MovieLens dataset](http://dx.doi.org/10.1145/2827872):"
"Let's look at one more. Recommendation systems are very important, particularly in e-commerce. Companies like Amazon and Netflix try hard to recommend products or movies which you might like. Here's how to train a model which will predict which people might like which movie, based on their previous viewing habits, using the [MovieLens dataset](https://doi.org/10.1145/2827872):"
]
},
{