Support Vector Machine Classification model is applied on bank dataset containing 41188 rows and 21 columns. The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to assess if the product (b…
correlation exploratory-data-analysis support-vector-machine dummies hyperparameter-tuning boxplot svm-classifier imbalanced-data feature-scaling bivariate-analysis univariate-analysis categorical-predictors random-under-sampling model-evaluation-metrics
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Updated
Jul 5, 2022 - Jupyter Notebook