GitHub / SarangGami / Bank-Marketing-Effectiveness-Prediction-supervised-learning
The main objective is to build a predictive model that predicts whether a new client will subscribe to a term deposit or not, based on data from previous marketing campaigns.
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PURL: pkg:github/SarangGami/Bank-Marketing-Effectiveness-Prediction-supervised-learning
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 7.1 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: almost 2 years ago
Pushed at: over 2 years ago
Last synced at: almost 2 years ago
Topics: bank-marketing-analysis, data-cleaning, data-wrangling, exploratory-data-analysis, feature-engineering, feature-extraction, feature-selection, imbalanced-classes, model-selection, multicollinearity, pre-processing, smote-sampling