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About Practice Problem: Loan Prediction III

Nothing ever becomes real till it is experienced.

-John Keats


While we don't know the context in which John Keats mentioned this, we are sure about its implication in data science. While you would have enjoyed and gained exposure to real world problems in this challenge, here is another opportunity to get your hand dirty with this practice problem powered by Analytics Vidhya.


This hackathon aims to provide a professional setup to showcase your skills and compete with their peers, learn new things and achieve a steep learning curve.

Data Science Resources

  • You can access the free course on Loan prediction practice problem using Python here. It covers various analysis and modeling techniques related to this problem.
  • Are you a beginner? If yes, you can check out our latest 'Intro to Data Science' course to kickstart your journey in data science.


  • One person cannot participate with more than one user accounts.
  • This is proprietary dataset, you can only use for this hackathon (Analytics Vidhya Datahack Platform) not for any other reuse
  • You are free to use any tool and machine you have rightful access to.
  • You can use any programming language or statistical software.
  • You are free to use solution checker as many times as you want.


Registration Fee

About the Loan_prediction category
Getting error when submitting solution
__init__() got multiple values for argument 'n_splits'
How can i make sample submission file
Getting "TypeError: '>' not supported between instances of 'str' and 'float'"
Doubt about the div() in crosstab
Loan Prediction Problem Dataset
Cross Validation Import Error
Updated code of Julia Loan Prediction Challenge
Solution to Loan Prediction Problem
Getting 0.0 score on file submission
Imputing Missing Values
ValueError: Unknown label type: 'unknown' for LogisticsRegression Model
How to impute categorical missing values?
Using Mean to Guess Availality on Boolean Data before munging
Creating confusion mattrix on Loan Prediction dataset
Why univariate and bivariate analysis is required for machine learning?
Source of Loan Prediction Data
How to map values using 3 columns?
Need Help Improving Accuracy of Model
A Complete Tutorial to Learn Data Science with Python from Scratch
I keep getting an error Unnamed 0 is seen in your code when I want to submit my solution
Loan Prediction III : Wanted to know about Final solution option
Should target be missing in the test file?
Difference between train and test file
How to test accuracy on test data when test data does not have the output?
Is this a content or course?
Unable to fill missing value
Data Exploration using Elastic Search and Kibana
How to impute missing values for a variable like Gender?