Design
Implementing a K-Nearest Neighbors Algorithm
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The K-Nearest Neighbors algorithm is used to assign labels to new data points based on the labels of nearby data points. The algorithm requires a set of training data points, a value for K (the number of nearest neighbors to consider), and a test data point. The output is the label assigned to the test data point.
Design a machine learning algorithm to predict customer purchases
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The goal is to design a machine learning algorithm that can predict whether or not a customer will purchase a product, based on customer data including age, gender, location, income, and product preferences .
Designing a machine learning algorithm to automatically categorize news...
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Design a machine learning algorithm that can automatically categorize news articles by topic. This can be done by training the algorithm on a dataset of labeled news articles, and then testing it on a new set of unlabeled articles.
Summing Odd Numbers in a List
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This problem asks you to design a function that takes in a list of integers and returns the sum of all the odd numbers in the list.
Email Spam Classification
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The goal is to develop a machine learning algorithm that can take in a set of emails and correctly classify them as spam or not spam.
Designing a machine learning algorithm to predict customer purchase behavior.
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This technical problem deals with designing a machine learning algorithm that can predict whether or not a customer will purchase a product, given their past purchase history.
Identifying faces in images using machine learning
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The goal is to train a machine learning model to identify faces in new images, given a dataset of images of faces that have been labeled with the name of the person in the image.
Designing a machine learning algorithm
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A machine learning algorithm is being designed to automatically generate new images of faces that look realistic.
