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Data driven approach to predict the success of bank telemarketing. Implemented SVM, Decision tree, logistic regression model.

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patelkhelan11/ALDAproject

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LogisticSmall.py

LogisticSmall.py

 
 

NN_anush.py

NN_anush.py

 
 

README.md

README.md

 
 

bank-additional-csv.csv

bank-additional-csv.csv

 
 

bank-additional-full-csv.csv

bank-additional-full-csv.csv

 
 

bank-additional.csv

bank-additional.csv

 
 

checkLog1-csv.csv

checkLog1-csv.csv

 
 

dheeraj_decisiontree.py

dheeraj_decisiontree.py

 
 

svm.py

svm.py

 
 

svm_data.xls

svm_data.xls

 
 

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#ALDAproject

  • The required csv files are included in the same directory.
  • For complete data use bank-additional-full-csv.csv file.
  • 4 models are generated for the Bank telemarketing dataset.
  • After executing each model, accuracy, ROC curve and AUC measures are resulted.
  • For SVM model, use svm_data.xls file as the intial data.

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Data driven approach to predict the success of bank telemarketing. Implemented SVM, Decision tree, logistic regression model.

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science data machine-learning csv datascience bank-telemarketing

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