December 8, 2019
fintech products and services, there is a gap regarding people’s current ability, desire, and need.
Let’s consider the data from a village upload the data , summarize , normalize (to determine the variables to be applied some transformations , which results the transformed data set, but the problem is skewness and kurtosis perhaps the data will appear binary or Boolean , it is preprocessing the data with two data sets present data (income, age)with a timestamp which helps to connect the time of data ,time of day get it all together for prediction , the prediction helps to find the educated and motivate about the fintech and make them volunteer to preach fintech to everyone. the data is converted as API embedded to excel Document - Helps the salesperson reach the right prospect with available details with a filter-based feature selection. two class neural networks is used to find the right prospect to be reached.