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60 | # 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`. We have obtained the data set from [this](https://www.kaggle.com/uciml/iris) Kaggle link.
### Features
The data set contains the following features:
| Feature | Description |
| --- | --- |
| Id | The id of the sample |
| SepalLengthCm | the length of the sepals |
| SepalWidthCm | the width of the sepals |
| PetalLengthCm | the length of the petals |
| PetalWidthCm | the width of the petals |
| Species | the species of the iris plant |
## ML Techniques
Tentative ML techniques:
- [K-Nearest Neighbors](https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html)
- [Logistic Regression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html)
- [Decision Tree](https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html)
- [Random Forest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html)
- [Naive Bayes](https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html)
- [SVM](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html)
- [K-Means](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html)
- [Linear Discriminant Analysis](https://scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysis.html)
- [Quadratic Discriminant Analysis](https://scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis.html)
- [Gaussian Process](https://scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html)
- [Gradient Boosting](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html)
- [Bagging](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html)
- [AdaBoost](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html)
- [Extra Trees](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html)
- [Voting Classifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html)
- [Stacking Classifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html)
- [Bagging Classifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html)
- [Extra Trees Classifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html)
- [Gradient Boosting Classifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html)
- [Gaussian Process Classifier](https://scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html)
- [Random Forest Classifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html)
- [Voting](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html)
- [Stacking](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html)
- [Logistic Regression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html)
- [Perceptron](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html)
- [Passive-Aggressive](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html)
- [Ridge](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html)
- [SGD](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html)
- [SVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html)
- [Linear SVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html)
- [NuSVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html)
- [One-Class SVM](https://scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html)
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