Personal-Loan-Campaign

Predictive modeling of bank customers to identify which users are most likely to accept personal loan offers. Helps in designing targeted marketing campaigns and increasing conversion rates.

mit

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Jupyter Notebook Language

mit License

45.1 SrcLog Score

Cost to Build

$26.7K

Market Value

$12.2K

How is this calculated?

Growth over time

3 data points · 2026-04-07 → 2026-04-22

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What is the sandesha21/Personal-Loan-Campaign GitHub project? Description: "Predictive modeling of bank customers to identify which users are most likely to accept personal loan offers. Helps in designing targeted marketing campaigns and increasing conversion rates.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/sandesha21/Personal-Loan-Campaign.git

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