1. Clean the data, identify missing values, replace any missing values. Both the

1. Clean the data, identify missing values, replace any missing values. Both the values, numerical values. Spring values. 2. plot every column separately with respect to house value. 3. Implement linear regression algorithm on the dataset 4. Once you train the model, make the house price prediction, give imputs and see how closely model predicts compare to actual value.