In today’s data-driven world, many business scenarios demand insights not in hours or days, but in seconds. From monitoring IoT devices to tracking live transactions, real-time analytics enables organizations to act immediately. Microsoft Fabric delivers this capability through KQL databases and event streams, making it easier to ingest, query, and analyze fast-moving data at scale.
Requirement: The main requirement is to be able to assign and predict House Price in a given location based on age of house, distance from Airport and number of conveniences stores within 5 km radius.
In Supervised Machine learning, set of instances are provided to the learning Algorithm, each instance contains an input and an output. The Algorithm learns from these instances and builds a model which can then find output to any new input.
Ization 