Supervised-Learning-with-Scikit-learn

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The Voting dataset (1)

A dataset obtained from the UCI Machine Learning Repository consisting of votes made by US House of Representatives Congressmen. The goal is to predict their party affiliation ('Democrat' or 'Republican') based on how they voted on certain key issues.

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The digits recognition dataset

Multi-class classification on the MNIST digits recognition dataset, which has 10 classes, the digits 0 through 9.

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Gapminder Dataset (1)

Predict the life expectancy in a given country based on features such as the country's GDP, fertility rate, and population using the Gapminder dataset

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PIMA Indians Dataset

Binary classification problem on PIMA Indians dataset obtained from the UCI Machine Learning Repository. To predict whether or not a given female patient will contract diabetes based on features such as BMI, age, and number of pregnancies.

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Gapminder Dataset (2)

Predict the categorical 'Region' feature based on features such as the country's GDP, fertility rate, life expectancy and population using the Gapminder dataset.

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The Voting dataset (2)

A dataset obtained from the UCI Machine Learning Repository consisting of votes made by US House of Representatives Congressmen. The goal is to impute missing data.

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White Wine Quality dataset

A dataset obtained from the UCI Machine Learning Repository consisting of White Wine Quality. The goal is centering and scaling data.