Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/badranalyst/e-commerce-customer-analysis-data-science-foundations-case-study
This case study explores e-commerce customer data through data exploration, pre-processing, and splitting. It includes model building and training to analyze customer behavior. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used for the analysis and model development.
https://github.com/badranalyst/e-commerce-customer-analysis-data-science-foundations-case-study
data-analysis data-science dataset eda exploratory-data-analysis machine-learning matplotlib ml model-building model-training numpy pandas pre-processing python seaborn
Last synced: 23 days ago
JSON representation
This case study explores e-commerce customer data through data exploration, pre-processing, and splitting. It includes model building and training to analyze customer behavior. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used for the analysis and model development.
- Host: GitHub
- URL: https://github.com/badranalyst/e-commerce-customer-analysis-data-science-foundations-case-study
- Owner: BadrAnalyst
- Created: 2024-12-26T12:03:19.000Z (28 days ago)
- Default Branch: main
- Last Pushed: 2024-12-26T12:04:01.000Z (28 days ago)
- Last Synced: 2024-12-26T13:23:36.679Z (28 days ago)
- Topics: data-analysis, data-science, dataset, eda, exploratory-data-analysis, machine-learning, matplotlib, ml, model-building, model-training, numpy, pandas, pre-processing, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 438 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# E-Commerce-Customer-Analysis-Data-Science-Foundations-Case-Study
This case study explores e-commerce customer data through data exploration, pre-processing, and splitting. It includes model building and training to analyze customer behavior. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used for the analysis and model development.