https://github.com/iamvaibhavsar/house_price_prediction
This project aims at predicting house prices (residential) in Ames, lowa, USA. The data set for this project has been taken from Kaggle's Housing Data Set Knowledge Competition. The Algorithms used in this project are XGBoost, Neural Network and Lasso Regression
https://github.com/iamvaibhavsar/house_price_prediction
data-science lasso-regression machine-learning machine-learning-algorithms neural-networks prediction-algorithm xgboost-model
Last synced: 2 months ago
JSON representation
This project aims at predicting house prices (residential) in Ames, lowa, USA. The data set for this project has been taken from Kaggle's Housing Data Set Knowledge Competition. The Algorithms used in this project are XGBoost, Neural Network and Lasso Regression
- Host: GitHub
- URL: https://github.com/iamvaibhavsar/house_price_prediction
- Owner: IamVaibhavsar
- Created: 2020-04-06T09:41:09.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-04-06T09:52:05.000Z (about 5 years ago)
- Last Synced: 2025-01-03T04:50:35.916Z (4 months ago)
- Topics: data-science, lasso-regression, machine-learning, machine-learning-algorithms, neural-networks, prediction-algorithm, xgboost-model
- Language: Jupyter Notebook
- Homepage:
- Size: 1.54 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# House_Price_Prediction
This project aims at predicting house prices (residential) in Ames, lowa, USA. The data set for this project has been taken from Kaggle's Housing Data Set Knowledge Competition. The data set is simple.
---
Read the research Paper for more detail.
We will use three algorithms: XGBoost, Neural Network and Lasso Regression.