Design
Linear Regression
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Given a set of points in two dimensions, linear regression is a technique for finding the best-fitting line that passes through those points.
Image Classification with a Machine Learning Algorithm
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A machine learning algorithm is used to classify images of handwritten digits. The algorithm takes as input a set of images of handwritten digits, each image represented as a matrix of pixel values. The algorithm outputs a vector of labels corresponding to the digit in each image.
Detecting Plagiarism in Text Documents with Machine Learning
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This problem deals with designing a machine learning algorithm to automatically detect plagiarism in text documents.
K-nearest neighbors algorithm implementation.
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The k-nearest neighbors algorithm is a simple, yet powerful, machine learning technique that can be used for both classification and regression. The algorithm is easy to implement from scratch, and the example given shows how to do so.
Find the Closest Pair of Points
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This technical problem involves finding the closest pair of points from a given set of 2D points. The input is a list of 2D points, and the output is the closest pair of points from the input.
K-nearest neighbors algorithm.
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The k-nearest neighbors algorithm is used to find the k nearest neighbors for each point in a given set of points in two-dimensional space.
Predicting the Risk of a Heart Attack
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This problem involves designing a machine learning algorithm to predict the risk of a heart attack within the next year. Age, sex, weight, height, cholesterol level, and blood pressure are some of the input factors that the algorithm will consider. The output will be a percentage representing the chance of having a heart attack within the next year.
Find the Closest Pair of Points in 2D Space
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The goal is to find the closest pair of points in 2D space from a given set of points. The input is a list of points, and the output is the closest pair of points .
