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classification of online purchasing rates

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classification-algorithims colab-notebook data-visualization decision-tree-classifier google-cloud logistic-regression svm-classifier machine-learning unbalanced-data python

predicting-customer-purchases's Introduction

Predicting Purchasing Rates

True green supplies sells several merchandise on its online store with its customers making purchases or just browsing the site to peharps make future purchases. The aim of the project is to develop a reliable model to predict if a given customer would make a purchase or not as well as conduct analysis to understand the businesses' customers. This would help the business with optimizing its advertising campaigns and identify its immerging markets and customers

Project outline

Data exploration and analysis

Feature selection

Data preparation and formating

Model training and validation

Model prediction

Data sources

Training data

Testing data

Installation

The python libraries used for the project

numpy
pandas
seaborn
matplotlib
scikit-learn

Credits

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