Predictive-engine-Insurance-company-marketing-efforts

Insurance company wants to develop a tool to optimize their marketing efforts. They have given us a data set as a result of an email marketing campaign. The data set includes customer information, described below, as a well as whether the customer responded to the marketing campaign or not.

Task: Design a model that will be able to predict whether a customer will respond to the marketing campaign based on his/her information. In other words, predict the ‘responded’ target variable based on all the input variables provided.

Files: marketing_training.csv - contains the training set that you will use to build the model. The target variable is ‘responded’ marketing_test.csv – contains testing data where the input variables are provided but not the ‘responded’ target column. * Deliverables:

Two Workflows:

Workflow 1: Main Idea was to transform categorical variables into Indexed values for example (Categorical values under schooling (undergrad, high school etc.) have all been indexed.

Workflow 2: I have used sampling and encoding techniques before training models, emphasis was more on transformation.