GitHub - aadishagrawal/Campaign-for-selling-personal-loans: This Project involved using classification algorithms to predict the income level of the customers based on attributes like 'sex', 'marital-status', 'age', 'occupation' etc. The classification algorithms that were used are Naive Bayes, Logistic Regression, KNN, and Decision Tree. And finally, a comparison of accuracy across these models was done to finalize the model for prediction.

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This Project involved using classification algorithms to predict the income level of the customers based on attributes like 'sex', 'marital-status', 'age', 'occupation' etc. The classification algorithms that were used are Naive Bayes, Logistic Regression, KNN, and Decision Tree. And finally, a comparison of accuracy across these models was done…

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Name		Name	Last commit message	Last commit date
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Bank_Personal_Loan_Modelling.csv		Bank_Personal_Loan_Modelling.csv
Project - Supervised Learning- Problem Statement.pdf		Project - Supervised Learning- Problem Statement.pdf
Supervised_Aadish_Assignment.ipynb		Supervised_Aadish_Assignment.ipynb