prneidhardt / Supervised-Learning-Classification

INN Hotels Project

Supervised-Learning-Classification

• Project completed as part of Great Learning's Postgraduate Program - Data Science and Business Analytics
• Project delivered in November 2021
• Repository includes two files:
  • Jupyter notebook with Python code written for data analysis and model building
  • CSV file includes data imported into notebook

Problem Statement

• Analyze the data of INN Hotels to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.

Skills and Tools

• Exploratory Data Analysis (Variable identification, Univariate analysis, Bi-Variate analysis)
• Data Pre-processing
• Logistic regression
  • Multicollinearity
  • Optimal threshold using AUC-ROC curve
• Decision trees
  • Pruning