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Using a credit score data from Kaggle, determine clients to provide loans and are less likely to default.

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CreditScoreClassification_ADS-504

-- Project Status: [Complete]

Project Intro/Objective

Create a Credit Score Classification model to find possible clients to make loan offers to that have high probability of paying off loans

Team Members

  • Ryan Dunn
  • Azucena Faus
  • Sanjay Regi Philip

Methods Used

  • Exploratory Data Analysis
  • Data Visualizations
  • Classification Modeling
  • Feature Engineering

Technologies

  • Python
    • Pandas
    • Matplotlib
    • Sklearn
    • dmba
  • Jupyter
  • Scikit-learn API
  • TMDb API
  • Git

Needs of this project

  • data exploration/descriptive statistics
  • data processing/cleaning
  • statistical modeling
  • writeup/reporting
  • presenting findings & evaluating results

Getting Started

  1. Clone this repo (for help see this tutorial).
  2. Raw Data is being kept here.
  3. Notebooks are being kept here.

Featured Notebooks/Analysis/Deliverables

  • [code](final report)

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Using a credit score data from Kaggle, determine clients to provide loans and are less likely to default.

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