Implement some learned data mining techniques and predict if the client will subscribe to a term deposit
This dataset is publicly available for research. It has been picked up from the UCI Machine Learning with random sampling and a few additional columns.
Please add this citation if you use this dataset for any further analysis.
S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems, Elsevier, 62:22-31, June 2014
The full dataset was described and analyzed in:
- S. Moro, R. Laureano and P. Cortez. Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology.
- In P. Novais et al. (Eds.), Proceedings of the European Simulation and Modelling Conference - ESM'2011, pp. 117-121, Guimarães, Portugal, October, 2011. EUROSIS.
https://www.kaggle.com/code/santhoshtsk/banking-dataset-analysis-and-prediction/input
- Used techniques: preprocessing, clustering with K-Means, association rule with apriori, classification with Gaussian Naive Bayes and SVM, ...
- Re-edit the path if you use our code for importing or loading the dataset.
- The report is submitted and scored by the instructor.
- The report is for reference only, please do not edit or use for other purposes.
All the files are done by me and @phamcongthuan, if you reuse the code please add the citation