In machine learning, algorithms are rules for how to analyze data using statistics. Machine learning systems use these rules to identify relationships between data inputs and desired outputs–usually  predictions. To get started, scientists give machine learning systems a set of training data. The systems apply their algorithms to this data to train themselves how to analyze similar inputs they receive in the future. Supervised learning algorithms and supervised learning models make predictions based on labeled training data. Zestimate is a tool that provides the worth of the house based on various attributes like public data, sales data, etc. Using machine… Read More