HOUSING PRICE PREDICTION
working: Dataset Full database Non functional gui functional gui Database connected to application Fully functional application.
Project Title
HOUSING PRICE PREDICTION
Project Area of Specialization
Project Summary
making an application which can predict house prices through different parameter and generate graph to show price differences.
required:
-dataset
_database
_api
_gui
Tools:
machine learning and data mining
working:
- Dataset
- Full database
- Non functional gui
- functional gui
- Database connected to application
- Fully functional application.
Project Objectives
“Housing Price in Beijing” is a dataset containing more than 300, 000 data with 26 variables representing housing prices traded between 2009 and 2018. These variables, which served as features
of the dataset, were then used to predict the average price per square meter of each house. The next
Step was to investigate missing data. Variables with more than 50% missing data would be removed
From the dataset. The variable “Day on market” was removed because of 157, 977 missing data. Any
Observation which had missing values were also removed from the dataset. Below are a few feature
engineering processes which were done to cleanse the dataset: • Remove attributes indicating the
Number of kitchens, bathrooms, and drawing rooms due to their ambiguity. • Set the number of living
Rooms (bedrooms were mistranslated to living rooms) in a range from 1 to 4. • Add attribute
“Distance” indicating the distance of the house from the center of Beijing. • Replace attribute
“construction Time” with attribute “age” by deducting the year that the house constructed from the
Current year (2019). • Set minimum values for attributes “price” and “area”. • Split the attribute “floor”
into attributes “floor Type” and “floor Height”.
Project Implementation Method
- Dataset
- Full database
- Non functional gui
Benefits of the Project
you can check your property prices through this application.
Technical Details of Final Deliverable
Laptop
modem
Application
softwares
tools
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Laptop | Equipment | 2 | 50 | 100 |
| Total in (Rs) | 100 |
If you need this project, please contact me on contact@adikhanofficial.com
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