German credit data python
WebThe German credit dataset contains information on 1000 loan applicants. Each applicant is described by a set of 20 different attributes. Of these 20 attributes, seventeen attributes are discrete while three are continuous. The main idea is to use techniques from the field of information theory to select a set of important attributes that can be ... WebReading the data into python ¶. This is one of the most important steps in machine learning! You must understand the data and the domain well before trying to apply any …
German credit data python
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WebOct 17, 2024 · Exploratory data visualization. The application makes it possible to visualize the data according to various sub-groupings by highlighting the graphical EDA tab and … WebPositivity and Optimism are my personal mission. I do not see myself aging but actively healthy and happy. My EQ is very pronounced and I get along very easily. Married with one child, born February 16, 1961 WORK EXPERIENCE since 05/2024 Training in data science, scrum, real estate management for German market • MS Certified …
WebStatlog (German Credit Data) Data Set This dataset hosted & provided by the UCI Machine Learning Repository contains mock credit application data of customers. Based on the attributes provided in the dataset, the customers are classified as good or bad and the labels will influence credit approval.
WebThe data contains 1000 observations (700 good loans, 300 bad loans) and the following variables: Account_status: a factor with four levels representing the amount of money in the account or "no chcking account" . Duration: a continuous variable, the duration in months. Credit_history: a factor with five levels representing possible credit ... WebJul 22, 2024 · Issues. Pull requests. This repository provides some group fairness metrics to Machine Learning classifier of German Credit Scoring Dataset. It computes …
WebThe German Credit Data contains data on 20 variables and the classification whether an applicant is considered a Good or a Bad credit risk for 1000 loan applicants. Here is a link to the German Credit data (right-click and "save as").
WebExplore and run machine learning code with Kaggle Notebooks Using data from multiple data sources. code. New Notebook. table_chart. New Dataset. emoji_events. New … hydrocephalus and visionWebOct 14, 2024 · This sample uses the German Credit Card dataset from the UC Irvine repository. It contains 1,000 samples with 20 features and one label. Each sample represents a person. The 20 features include numerical and categorical features. For more information about the dataset, see the UCI website. masseanspruchWebGerman Credit Data Analysis; Introduction; Simple data transformations; Visualizing categorical data; Discriminant analysis; Dividing the data and the ROC; Fitting the … mass dvd storage shelvesWebThe German Credit Data contains data on 20 variables and the classification whether an applicant is considered a Good or a Bad credit risk for 1000 loan applicants. Here is a … hydrocephalus and speech therapyWebplt. figure ( figsize =(8, 8)) plt. style. use ('ggplot') sns. boxplot ( y ='Purpose', x ='Credit amount', data = credit_df, palette ='rocket' ) plt. show () Credit amount and duration hydrocephalus and weight losshttp://www1.beuth-hochschule.de/FB_II/reports/Report-2024-004.pdf masse achatWebPython · German Credit Risk. German Credit Risk Analysis : Beginner's Guide . Notebook. Input. Output. Logs. Comments (5) Run. 17.9s. history Version 16 of 16. License. This Notebook has been released under the Apache 2.0 open source license. Continue exploring. Data. 1 input and 1 output. arrow_right_alt. Logs. 17.9 second run - successful. hydrocephalus articles