K company has launched a new financial product, with limited marketing budget, the marketing campaign can only focus on high-potential customers. A past marketing campaign data is utilized to aid the prediction
▪︎ A descriptive anlaysis: visialize dataset with Python pandas seaborn matplotlib
▪︎ Exploring feature importance --> Feature Selection
▪︎ Building Machine learning models: LogisticRegression naive bayes random forest
▪︎ Model Evlauation with cross validation & confusion matrix
▪︎ Final Model Deployment
