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Supervised Machine Learning in Python by Emely Gonzaga is a document available to read on EtoBox.

What is Supervised Machine Learning in Python about?

This document contains instructions and code snippets for several supervised machine learning tasks using Python. It asks the learner to: 1) Import and examine a House voting dataset to identify true statements about its structure. 2) Perform exploratory data analysis on two bills in the dataset using countplots to see which party votes more in favor. 3) Predict party affiliation for new voting data using the existing data. 4) Perform a 70-30 train-test split with stratification and print predictions and

Author

Emely Gonzaga

Language

EN