This data science project series is about building a real estate price prediction website for the Canton of Zurich. First, I built a model using sklearn and linear regression using Melbourne home prices dataset from kaggle.com. Second step was to write a python flask server that uses the saved model to serve http requests. Third component is the website built in html, css and javascript that allows user to enter home square ft area, bedrooms etc and it will call python flask server to retrieve the predicted price
-
Notifications
You must be signed in to change notification settings - Fork 1
🏡This data science project series is about building a real estate price prediction website. First, I built a model using sklearn and linear regression using Melbourne home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests. Third component is the website built in h…
konskyrt/Predicting-Home-Prices
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
🏡This data science project series is about building a real estate price prediction website. First, I built a model using sklearn and linear regression using Melbourne home prices dataset from kaggle.com. Second step would be to write a python flask server that uses the saved model to serve http requests. Third component is the website built in h…
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published