Prediction of Car Insurance using Logistic Regression Algorithm
Prediction of Car Insurance using Logistic Regression Algorithm. There are 19 variables (including the target variable) in the train dataset. We did exploratory data analytics and show it with visualization data. And the next step is data cleansing and preparation for prepare built the model. In this notebook we used feature selection to gain best features for modelling and fit to Logistics regression algorithm. In the last step is we did evaluation model to check whether our model is good or not.