Probability Theory and Support Vector Machines

Quantify the dataset into probabilities and then classify it using the SVM implementation in scikit-learn. You are allowed to use any of the scikit functions.

You will use the Glass dataset from the UCI Machine learning repository ( (Links to an external site.)). The dataset consists of 214 training instances of different types of glasses.

Please remember to provide text answers to the questions using text cells in the Colab notebook as well as writing the code.

Taidot: Machine Learning (ML), Python, Algoritmi, Matematiikka, tiedonlouhinta

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Tietoa työnantajasta:
( 0 arvostelua ) Santa Clara, United States

Projektin tunnus: #27934360

11 freelanceria on tarjonnut keskimäärin $23 tähän työhön


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