home-credit-default-risk | Default risk prediction for Home Credit | Machine Learning library

 by   mratsim Python Version: Current License: No License

kandi X-RAY | home-credit-default-risk Summary

kandi X-RAY | home-credit-default-risk Summary

home-credit-default-risk is a Python library typically used in Artificial Intelligence, Machine Learning applications. home-credit-default-risk has no bugs, it has no vulnerabilities and it has low support. However home-credit-default-risk build file is not available. You can download it from GitHub.

Many people struggle to get loans due to insufficient or non-existent credit histories. And, unfortunately, this population is often taken advantage of by untrustworthy lenders. Home Credit strives to broaden financial inclusion for the unbanked population by providing a positive and safe borrowing experience. In order to make sure this underserved population has a positive loan experience, Home Credit makes use of a variety of alternative data--including telco and transactional information--to predict their clients' repayment abilities. While Home Credit is currently using various statistical and machine learning methods to make these predictions, they're challenging Kagglers to help them unlock the full potential of their data. Doing so will ensure that clients capable of repayment are not rejected and that loans are given with a principal, maturity, and repayment calendar that will empower their clients to be successful.
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            kandi-support Support

              home-credit-default-risk has a low active ecosystem.
              It has 70 star(s) with 16 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of home-credit-default-risk is current.

            kandi-Quality Quality

              home-credit-default-risk has 0 bugs and 0 code smells.

            kandi-Security Security

              home-credit-default-risk has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              home-credit-default-risk code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              home-credit-default-risk does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              home-credit-default-risk releases are not available. You will need to build from source code and install.
              home-credit-default-risk has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 1115 lines of code, 51 functions and 19 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed home-credit-default-risk and discovered the below as its top functions. This is intended to give you an instant insight into home-credit-default-risk implemented functionality, and help decide if they suit your requirements.
            • Fte example
            • Saves training and test data to a cache file
            • Load training and test set
            • Fteales channels
            • Return the average number of appearance
            • Fetch categoricals
            • Encodes categoricals
            • Compute the classification output
            • Compute the importance of each feature
            • Extract features from a dataframe
            • Convert a list of transformers into a pipeline
            • Wrapper for feature transformation
            • Convenience function for feature selection
            • Set up the logger
            • Validate the dataset
            • Cross validation
            • Fetches missing training and test data
            • Computes the Fte cash curve
            • Calculate Fte cash flow rate and test
            • Compute previous training
            • Compute the previous credit
            • Fte weights calculation
            • Compute the FTE credit and test suite
            • Delete keys from a cache file
            Get all kandi verified functions for this library.

            home-credit-default-risk Key Features

            No Key Features are available at this moment for home-credit-default-risk.

            home-credit-default-risk Examples and Code Snippets

            No Code Snippets are available at this moment for home-credit-default-risk.

            Community Discussions

            Trending Discussions on home-credit-default-risk

            QUESTION

            Featuretools - unable to add relationship in Entityset
            Asked 2022-Feb-04 at 16:43

            I'm writing a notebook using this data from Kaggle. Here's a screenshot of the two tables just to show we have ID columns in both.

            Here's my code when trying to set up the Entity Set and add a relationship.

            ...

            ANSWER

            Answered 2022-Feb-04 at 13:41

            If you are adding a relationship to an EntitySet by passing in a Relationship object, you need to make sure to use the relationship keyword in your call like this:

            Source https://stackoverflow.com/questions/70986231

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install home-credit-default-risk

            You can download it from GitHub.
            You can use home-credit-default-risk like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/mratsim/home-credit-default-risk.git

          • CLI

            gh repo clone mratsim/home-credit-default-risk

          • sshUrl

            git@github.com:mratsim/home-credit-default-risk.git

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