GitHub - kasiakry/ml2-big-dataset: Project for Machine Learning 2 (classification problem). Predicting the Success of Bank Telemarketing. Used classifiers: Logistic Regression, Decision Tree, Random Forest, XGBoost, Neural Network.

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Project for Machine Learning 2 (classification problem). Predicting the Success of Bank Telemarketing. Used classifiers: Logistic Regression, Decision Tree, Random Forest, XGBoost, Neural Network.

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Name		Name	Last commit message	Last commit date
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.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
Bank-Marketing-final.html		Bank-Marketing-final.html
Bank-Marketing-final.ipynb		Bank-Marketing-final.ipynb
bank-additional-full.csv		bank-additional-full.csv
confusion_matrix.PNG		confusion_matrix.PNG
confusion_matrix_pretty_print.py		confusion_matrix_pretty_print.py

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Project for Machine Learning 2 (classification problem). Predicting the Success of Bank Telemarketing. Used classifiers: Logistic Regression, Decision Tree, Random Forest, XGBoost, Neural Network.

classification-algorithm telemarketing

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