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Regression-Model

This is the regression model I have made using ML algorithms.

About the Project:

Predicting Hotel Booking Cancellation Is a machine learning classification project that will try to predict whether a booking will be cancelled or a booking will not be cancelled using machine learning based on hotel data.

Workflow:

Importing Libraries:

  * Firstly we will import all the required libraies such as pandas, numpy, matplotlib, seaborn.

Data cleaning:

  * Then we will check the shape of data, rows and columns, null values and will then remove all the null values.

Exploratory Data Analysis:

  * Feature Engineering
  * Binning
  * Aggregating Columns
  * Cleaning Data
  * Visualization
  * Insight & Conclusion

Model Building:

  * Train Test Split
  * Using pipeline for model building- scaling for normal features and label encoder for categorical features
  *  Creating base model with few algorithm (Logistic Regression, K Neighbors Classifier, Decision Tree Classifier, Random Forest classifier, XGB Classifier)
  *  Checking evaluation matrix
  *  checking evaluation matrix on the tuned model
  *  Export the model with the best accuracy score 

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This is the regression model I have made using ML algorithms.

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