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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.

Rules

  • One person cannot participate with more than one user accounts.
  • 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

Free
About the Loan_prediction category
Source of Loan Prediction Data
Should target be missing in the test file?
Getting 0.0 score on file submission
I keep getting an error Unnamed 0 is seen in your code when I want to submit my solution
Imputing Missing Values
Loan Prediction III : Wanted to know about Final solution option
Is this a content or course?
Unable to fill missing value
Creating confusion mattrix on Loan Prediction dataset
Getting "TypeError: '>' not supported between instances of 'str' and 'float'"
Need Help Improving Accuracy of Model
Data Exploration using Elastic Search and Kibana
How to impute missing values for a variable like Gender?
Difference between train and test file
How to check accuracy of Logistic Regression model
How to apply Gradient Boosting technique on Loan Prediction hack?
How to map values using 3 columns?
ValueError:could not convert string to float: 'Rural'
Loan Prediction Problem Dataset
Loan-prediction Practice Problem : How to improve the model?
How to impute categorical missing values?
Loan Prediction - Data Conversion Warning
Please check with the test data set, all IDs are not available
'unorderable types: str() >= float()' error in Logistic Regression
How can I use "CoApplicaantIncome" as a feature?
Comparing Models Performance
Meaning of the statement : {0:.3%}".format(accuracy) in[ print "Accuracy : %s" % "{0:.3%}".format(accuracy)]
Labelencoder error
Confusion in replacing aggfunc by np.median() or np.mean() while using pivot table for 'LoanAmount'
DHS 2018