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HOtel Booking Cancellation on EDA Prediction

Table of Contents

  • EDA

    • From where the most guests are coming ?
    • How much do guests pay for a room per night?
    • How does the price vary per night over the year?
    • Which are the most busy months?
    • How long do people stay at the hotels?
  • Data Pre Processing

  • Model Building

    • Logistic Regression
    • Knn
    • Decision Tree Classifier
    • Random Forest Classifier
    • Ada Boost Classifier
    • Gradient Boosting Classifier
    • XgBoost
    • Cat Boost Classifier
    • Extra Trees Classifier
    • LGBM Classifier
    • ANN
    • Voting Classifier
  • Models Comparison

By using different machine learning algorithms and trainning the data on each machine learning algorithm. on the basis of accuracy I have choosen the best model which is catboostclassifier.