ml-engineer-pro video for you are in the process of creating an ML model to predict house prices. During the data preparation, you encounter a crucial predictor
You are in the process of creating an ML model to predict house prices. During the data preparation, you encounter a crucial predictor variable, which is the distance from the nearest school. However, you notice that this variable frequently has missing values and lacks significant variance. It's important to note that every instance (row) in your dataset holds significance. How should you address the issue of missing data in this context?