Selecting the right algorithm

The basic principle behind selecting the right algorithm is to look at the dependent variable (or target variable). In this challenge "Loan Prediction", we need to classify a customer's eligibility for Loan as "Y" or "N" based on the available information about the customer. Here the dependent variable is categorical and our task is to classify the customer in two groups; eligible for the loan amount and not eligible for the loan amount.

This is a classification challenge so we will import module of classification algorithms of sklearn library. Below are some commonly used classification algorithms: * Logistic Regression * Decision Tree * Random Forest

Whether an e-mail is spam or not? Is this problem a classification challenge or regression?

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Classification
Regression

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Selecting the right algorithm

Whether an e-mail is spam or not? Is this problem a classification challenge or regression?

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