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| author | Bobby <[email protected]> | 2022-04-11 22:21:35 -0400 |
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| committer | Bobby <[email protected]> | 2022-04-11 22:21:35 -0400 |
| commit | 5744b12ec9cf0b99570db50fa980e916206f2b09 (patch) | |
| tree | b80f34b79c6092aedef75f8026cc93e58db5668c /README.md | |
| download | iris-5744b12ec9cf0b99570db50fa980e916206f2b09.tar.xz iris-5744b12ec9cf0b99570db50fa980e916206f2b09.zip | |
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diff --git a/README.md b/README.md new file mode 100644 index 0000000..02d4f18 --- /dev/null +++ b/README.md @@ -0,0 +1,23 @@ +# Iris + +Different ML Techniques on the Iris dataset. For more information, see [this](https://en.wikipedia.org/wiki/Iris_flower_data_set) Wikipedia article. + +## Data + +### About the data + +Iris dataset is a multivariate data set with 150 samples and 4 features. The data set is named after the iris plant. The data set is loaded from [this](https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data) link. It comes pre-installed with the Python package `sklearn`. + + +### Features + +The data set contains the following features: + +| Feature | Description | +| --- | --- | +| sepal length in cm | the length of the sepals | +| sepal width in cm | the width of the sepals | +| petal length in cm | the length of the petals | +| petal width in cm | the width of the petals | + + |