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Booking Cancellation Predictor App is used to predict whether or not a Customer would cancel the room booked in the hotel. Created using python's scikit-learn, Fastapi, numpy and joblib packages.

Hotel Booking Cancellation Predictor

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Predicting hotel booking cancellations using Logistic Regression and Random Forest. Built with Python and scikit-learn on real-world hospitality data.

This project focuses on predicting hotel booking cancellations using a comprehensive dataset of reservations. The analysis includes a full data science workflow — from data cleaning and feature engineering to model training and evaluation — with the goal of identifying factors that influence cancellations and building a predictive model for them.

A machine learning application that predicts the likelihood of hotel booking cancellations. Features a React frontend and Flask API backend with a trained model. Aim is to help hotels optimize occupancy and revenue management.

Machine Learning solution to predict hotel booking cancellations with 96.9% accuracy. Analyzed 119K+ reservations using 6 ML algorithms (LightGBM, Random Forest, Decision Tree, KNN). Full-stack implementation with web interface. 🏨📊

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Predicting whether a person booking a hotel will cancel their booking

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An application that predicts whether a person with given data will cancel their hotel booking. Built with Python and utilized numpy and linear regression techniques. 79% accuracy.

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Hotel Booking Cancellation Predictor uses customer and booking details to predict the likelihood of cancellations. The project emphasizes feature selection and model interpretability.

This project addresses a binary classification problem based on a private Kaggle competition involving hotel booking data. The objective was to predict the likelihood of a booking being canceled, evaluated using ROC-AUC as the performance metric.

Analysis of Hotel Booking Cancellation dataset using statistical model and provide predictions on future booking cancelations using Logistic regression model.

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Predicting hotel booking cancellations using a decision tree model and Gradio app.

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ML-powered hotel booking cancellation predictor with Flask web interface

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The following repository has data analysis on Hotel Booking dataset and model on Room cancellation predictor.

Tired of unpredictable hotel cancellations? Meet the Hotel Booking Cancellation Predictor! This ML-powered tool forecasts cancellations using historical data, helping hotels reduce losses and optimize planning. Leveraging XGBoost and smart data analysis, it offers key insights and reliable predictions. Discover the power of data in hospitality!