Medical-Insurance-Cost-Prediction

Performing data Analysis on the data set by visualizing diffrent features of the data set to get valuable insights for training parameters Performing data pre-processing i.e encoding the categorical features Splitting the Features and Target Splitting the data into Training data & Testing Data Training the model using linear-regression Model Evaluation by predicting training and testing data and calculating the R squared value for the same Building a Predictive System