Welcome to loan-status’s documentation!

Project Contents:

• Classifying Risky P2P Loans
  • Abstract
• Project Overview
  • Objective
    • About P2P Lending
  • Project Setup
    • Import Libraries & Modules
    • Notebook Config
• Data Preprocessing
  • Load Dataset
  • Exploration
    • Summary
    • Missing Data
  • Data Munging
    • Cleaning
  • Feature Engineering
    • New Features
    • Drop Features
  • Load & Prepare Function
• Exploratory Data Analysis (EDA)
  • Helper Functions
  • Overview
    • Missing Data
  • Factor Analysis
    • Target: loan_status
  • Summary Statistics
• Predictive Modeling
  • Initializing Train/Test Sets
    • Shuffle and Split Data
  • Classification Models
    • Naive Predictor (Baseline)
    • Decision Tree Classifier
    • Random Forest Classifier
    • Blagging Classifier
  • Evaluating Model Performance
    • Feature Importance (via RandomForestClassifier)
  • Model Selection
    • Comparative Analysis
    • Optimal Model
    • Optimizing Hyperparameters
• Conclusion *Pending
• References

Indices and tables

• Index

• Module Index