You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Is your feature request related to a problem? Please describe.
The goal of this project is to optimize the bank’s marketing strategy by accurately predicting which clients are likely to subscribe to a term deposit based on historical marketing data. This will enable the bank to focus its efforts on high-potential clients, reducing campaign costs and improving conversion rates.
Describe the solution you'd like
This project aims to build predictive models to determine whether a client will subscribe to a term deposit, using data from marketing campaigns conducted by a financial institution. Various machine learning techniques are applied to analyze customer data, including demographics, financial status, and interaction history, to predict the likelihood of term deposit subscription.
The text was updated successfully, but these errors were encountered:
Thanks for creating the issue in ML-Nexus!🎉
Before you start working on your PR, please make sure to:
⭐ Star the repository if you haven't already.
Pull the latest changes to avoid any merge conflicts.
Attach before & after screenshots in your PR for clarity.
Include the issue number in your PR description for better tracking.
Don't forget to follow @UppuluriKalyani – Project Admin – for more updates!
Tag @Neilblaze,@SaiNivedh26 for assigning the issue to you.
Happy open-source contributing!☺️
Is your feature request related to a problem? Please describe.
The goal of this project is to optimize the bank’s marketing strategy by accurately predicting which clients are likely to subscribe to a term deposit based on historical marketing data. This will enable the bank to focus its efforts on high-potential clients, reducing campaign costs and improving conversion rates.
Describe the solution you'd like
This project aims to build predictive models to determine whether a client will subscribe to a term deposit, using data from marketing campaigns conducted by a financial institution. Various machine learning techniques are applied to analyze customer data, including demographics, financial status, and interaction history, to predict the likelihood of term deposit subscription.
The text was updated successfully, but these errors were encountered: