Applying Supervised Machine Learning (XGBoost) to predict visitor to customer conversion for an online store
In this project, I have applied XGBoost, a well-known Supervised Learning Algorithm to predict the probability of a visitor to an online store making a purchase (i.e. generating revenue).
The following files are available in this directory:
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Code_File.py: This is the Python file that contains the code that I developed for this project
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Dataset Description.pdf: This is a pdf document in which I have described the attributes of the dataset.
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Results of Exploratory Data Analysis.pdf: This file contains the discussion of the results of EDA.
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input_training_data.csv: This file contains the training data in csv form
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input_training_data.csv: This file contains the test data in csv form