https://github.com/jaymax01/predicting-customer-purchases
classification of online purchasing rates
https://github.com/jaymax01/predicting-customer-purchases
classification-algorithims colab-notebook data-visualization decision-tree-classifier google-cloud logistic-regression machine-learning python svm-classifier unbalanced-data
Last synced: 7 months ago
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classification of online purchasing rates
- Host: GitHub
- URL: https://github.com/jaymax01/predicting-customer-purchases
- Owner: jaymax01
- Created: 2023-09-13T10:12:07.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-13T10:30:12.000Z (over 2 years ago)
- Last Synced: 2025-06-16T02:05:12.716Z (7 months ago)
- Topics: classification-algorithims, colab-notebook, data-visualization, decision-tree-classifier, google-cloud, logistic-regression, machine-learning, python, svm-classifier, unbalanced-data
- Language: Jupyter Notebook
- Homepage:
- Size: 2.24 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## 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](https://drive.google.com/file/d/1LqO1PtN-NU8ImwLVlEWD4hgJBiePu5Tl/view)
[Testing data](https://drive.google.com/file/d/17BdSbCPl5p96GWeoU52s7BjmWayLWfy8/view)
## Installation
The python libraries used for the project
```
numpy
pandas
seaborn
matplotlib
scikit-learn
```
## Credits
