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# Documentation structure
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- [machine learning introduction](#machine-learning-introduction)
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- [Supervised learning](#supervised-learning)
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- [labeled dataset examples](#labeled-dataset-examples)
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- [Unsupervised learning](#unsupervised-learning)
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- [Clustering](#clustering)
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- [Classification](#classification)
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- [machine learning model](#machine-learning-model)
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- [k-Fold Cross-Validation](#k-fold-cross-validation)
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- [Signal vs Noise](#signal-vs-noise)
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- [Model fitting](#model-fitting)
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- [Overfitting](#overfitting)
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- [How to Detect Overfitting](#how-to-detect-overfitting)
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- [k-Fold Cross-Validation and overfitting](#k-fold-cross-validation-and-overfitting)
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- [How to Prevent Overfitting](#how-to-prevent-overfitting)
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- [machine learning algorithms](#machine-learning-algorithms)
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- [LinearSVC](#linearsvc)
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- [Support vector classifier](#support-vector-classifier)
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- [k-nearest neighbors](#k-nearest-neighbors)
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- [DBSCAN](#dbscan)
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- [k-means clustering](#k-means-clustering)
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- [Introduction to arrays using numpy](#introduction-to-arrays-using-numpy)
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- [visualize a dataset using seaborn](#visualize-a-dataset-using-seaborn)
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- [manipulate dataset with pandas](#manipulate-dataset-with-pandas)

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