Fraud_detection_CarInsuranceCompany_Python

Built a neural network model for fraud detection in car insurance company. Performed Data cleaning and prepared data for Exploratory Data Analysis(EDA). Visualized data for better understanding of the data. Made corelation matrix to understand how all features interact with each other. Built a basic ML model and then built a NN model on top of that with 94% accuracy.