Using Machine Learning to predict the SalePrice of properties
Project description
The aim of this project is to explore the train dataset by performing preprocessing operations, including data mining techniques like removing irrelevant data and updating missing values. Subsequently, we will apply various machine learning algorithms to the preprocessed dataset. The ultimate goal is to determine the best model for predicting property prices based on their features, including factors like location.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for houseprices2023xx-0.11.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 15e9eee12a22a1e7cbb7c3fcede79001629f45455e4efb920e36f6d8339f1be3 |
|
MD5 | 22bd7977f7b2de8cabe148db1b3b0bfe |
|
BLAKE2b-256 | 57157c339eb6354e5a21104ce77bc57b30c8daa1b9188065a0130b7722b7fd70 |