September 25, 2017
Machine learning is at the cornerstone of artificial intelligence based technologies from autonomous cars to solving a game with seemingly infinite possibilities at every move (like the game Go), it is important to understand and utilize machine learning for prediction and data set analysis.
The Real Estate Valuation Estimator, developed with three other members, harnessed the k nearest neighbour distance prediction technique to analyze simple and reasonably complex datasets and predict features as chosen by the user with a error margin that minimizes over time. A property’s value can be computed with absolute, euclidean or polar coordinate based distance metric to improvise data prediction based on user requirements.
Checkout the project