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Financial Survey Analysis is related to a study conducted to understand how women and men are comfortable with using technology to make financial transaction. Data collected by people by conducting a survey, which contained xxx questions. Data collected by more than twenty thousand people. Our ultimate goal in this project is to predict the gender based on the data by applying the techniques we learned so far. We’ll be doing the task in following major steps. 1. Data Exploration, Visualization 2. Data Filling 3. Features Engineering 4. Gender Predictor Model 5. Goodness measure and evaluation of predictor

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