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\nk-Nearest Neighbors in Python\n

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\nk-Nearest Neighbors classification is a type of lazy learning as it does not attempt to construct a general internal model, but simply stores instances of the training data. Classification is computed from a simple majority vote of the k...\nk-Nearest Neighbors classification is a type of lazy learning as it does not attempt to construct a general internal model, but simply stores instances of the training data. Classification is computed from a simple majority vote of the k nearest neighbors of each point.

Advantages: This algorithm is simple to implement, robust to noisy training data, and effective if training data is large.

Disadvantages: Need to determine the value of k and the computation cost is high as it needs to computer the distance of each instance to all the training samples. A feedback loop can be added to determine the number of neighbors.

Machine learning is a convergence of linear algebra, statistics, optimization, and computational methods to allow computers to make decisions and take action from data. Examples of machine learning are now pervasive and are expected to further influence transportation, entertainment, retail, and energy industries. This engineering course reviews theory and applications of machine learning to engineering applications with a survey of unsupervised and supervised learning methods.

The course combines mathematical details with several case studies that provide an intuition for machine learning with methods for classification, regression, and dimensionality reduction. A second phase of the course is a hands-on group project. The engineering problems and theory guide the student towards a working fluency in state-of-the-art methods implemented in Python.\n
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Resource Details

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Not yet Rated
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Media Length
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29:15
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Grade
10th - Higher Ed
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Subjects
STEM
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Media Type
Instructional Videos
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Source:
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\nAPMonitor.com\n\n
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Date
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2021
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Language
English
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Audiences
For Teacher Use
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Fine Print: Educational Use
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Concepts

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data, neighbors
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Additional Tags

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sklearn, python, k-nearest, source, code, example, simple, interview, predicted label, true label, input features, sk learn, confusion matrix, nearest neighbors, test set, data set, data frame, false positive, predicted correctly, 'll make, square root, pseudo code, python code, training data, classified correctly, print cm, data points, nearest, training, true, labels, correctly, make, feature, label, square
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Best For: Explaining a topic
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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: k-Nearest Neighbors in Python\" href=\"/subscription/new\">\"k-Nearest\n\n
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