# Census-Income-Prediction
## Overview
In this Project, we are going to predict whether a person's annual income is more than $50K or below $50K using various features like age, education, workclass, country, occupation etc. And this is a binary classification problem. The dataset we are going to use is the Adult census income dataset from Kaggle which contains about 32561 rows and 15 features.
## WebApp
* If you want to view the deployed model, click on the following link : https://incomep.herokuapp.com/
* If you are searching for Code, Algorithms used and Accuracy of the model Please Open "Income Prediction.ipynb" file
Census-Income-Prediction-main.zip （22个子文件） 
Census-Income-Prediction-main Flask AWS 
app.py 3KB .ebignore 1B xgb_model.pkl 1.35MB
requirements.txt 313B .ebextensions python.config 82B templates 
index.html 6KB result.html 2KB scaler.pkl 632B Income Prediction.ipynb 627KB xgb_model.pkl 1.35MB Flask Heroku app.py 3KB xgb_model.pkl 1.35MB requirements.txt 282B Procfile 22B templates index.html 6KB result.html 2KB scaler.pkl 632B Model building for deployment.ipynb 12KB README.md 945B Readme 
webapp.jpg 113KB
webapp.gif 2.3MB scaler.pkl 632B
leeloodeng
- 粉丝: 25
- 资源: 4699
评论0