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| | www.ethanrosenthal.com
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| | How would you build a machine learning algorithm to solve the following types of problems? Predict which medal athletes will win in the olympics. Predict how a shoe will fit a foot (too small, perfect, too big). Predict how many stars a critic will rate a movie. If you reach into your typical toolkit, you'll probably either reach for regression or multiclass classification. For regression, maybe you treat the number of stars (1-5) in the movie critic question as your target, and you train a model using m...
| | www.rasulkireev.com
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| | In this post we are going to apply some basic machine learning on our clean dataset. We are going to focus on using Scikit Learn
| | www.altexsoft.com
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| | A dive into the machine learning pipeline on the production stage: the description of architecture, tools, and general flow of the model deployment.
| | www.analyticsvidhya.com
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| Take your machine learning skills to the next level with Support Vector Machines (SVM) for tasks like regression and classification.