GitHub - KhaledTofailieh/Bank-Deposits-Classification

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README.md		README.md
bank_deposit_classification.ipynb		bank_deposit_classification.ipynb
bank_deposit_data_visualization.ipynb		bank_deposit_data_visualization.ipynb
results.csv		results.csv
utils.py		utils.py

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Hello, This Notebook Contains example of Bank Deposite classification.

- We try to predict if the bank campaign should contact with cretain customer.

- We use Pandas library for data exploratory, Seaborn Library for visualize data(found in bank_visualization file).

- We use Scikit-Learn library for training and testing models.

- We implement different techniques for feature selection, and we use Grid_Search technique for parameters tunning.

- Finally we save all results in 'results.csv' file

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python machine-learning csv numpy scikit-learn pandas seaborn pipline gridsearch matplotlib-pyplot column-transformer

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