Python Assignment

It is a small assignment and can be completed in 2-3 hrs. Below is the task required.

. Read the column description and ensure you understand each attribute well
2. Study the data distribution in each attribute, share your findings.
3. Get the target column distribution. Your comments
4. Split the data into training and test set in the ratio of 70:30 respectively
5. Use different classification models (Logistic, K-NN and Naive Bayes) to predict the likelihood of a liability customer buying personal loans
6. Print the confusion matrix for all the above models
7. Give your reasoning on which is the best model in this case and why it performs better?

Once selected, Will share the data on which above needs to be done.

Thanks,
About the recuiter
Member since Nov 11, 2022
Sayandeep Purkayasth
from Nakhon Phanom, Thailand

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