This project is a part of my engineering diploma work "Machine learning methods in real estate market prediction". It aims to choose the best suited method for apartments price prediction in Cracow. Core includes most of the program, only neural network method is in a separate file.
Program contains:
- Obtaining data from private database + additional informations from openstreetmaps and googlemaps API's.
- Automated cleaning and preparing data.
- Exploring dependencies and patterns hidden inside data, visualizations.
- Modeling data using three methods: linear regression, decision tree and neural network.
- Results, as errors values and accuracy of used models.