Bank Loan Default Prediction Python notebook using data from bank_data_loan_default · 28,241 views · 3y ago · data visualization, classification, data cleaning, +2 more feature engineering, lending12/11/2019 · Loan Prediction Project using Machine Learning in Python. By Sanskar Dwivedi. The dataset Loan Prediction: Machine Learning is indispensable for the beginner in Data Science, this dataset allows you to work on supervised learning, more preciously a classification problem. This is the reason why I would like to introduce you to an analysis of this 20/09/2019 · The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian for Loan Prediction Practice Problem (Using Python) course can be availed through any of the following channels: Phone - 10 AM - 6 PM (IST) on Weekdays Monday - Friday on +91-8368253068 Email [email protected] (revert in 1 working day)code. fig, ax = (2,2,figsize=(10, 10)) (train['Passport_flag'], ax=ax[0,0]) (test['Passport_flag'], ax=ax[0,1]) (train[train['Passport_flag']==1] ['loan_default'], ax =ax[1,0]) (train[train['Passport_flag']==0] ['loan_default'], ax =ax[1,1]) Out [38]:

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