House Price Prediction Using Flask
In today’s scenario we all known that real estate market is a focused regarding pricing and keep fluctuating . It is the common field that we can apply the ideas of machine learning to enhance the cost with high accuracy . This project help to find a price for property based on the geographical variables by breaking down past market patterns and value ranges and coming advancements future costs will be anticipated .
Project Overview
First of all we have to download dataset from kaggle . Then we have to apply feature engineering into dataset to clean the data , feature scaling , data pre-processing and like many more things . Then we have to divide our dataset into two part , first part says independent feature and dependent feature . In dependent feature we consider price and independent feature consider rest of the column . Then we have to divide dataset into two part, first part train dataset and second part test dataset . Then after we have to apply some regression model to train the data . After that we have test the model and check the accuracy of model .After checking the models I have conclude that the linear regression model is best for this project and the accuracy of the linear regression model is 88% .
After creating the model we have to deploy our Linear regression model into web application . For that purpose I have use python framework Flask . Basically Flask has use to connect Linear regression model with HTML , CSS , Javascript code .
After successfully created web application , we have to host our web application . For that I have use Heroku platform . Heroku is use for hosting our web application .
For additional , I have add a chatbot in this web application . This chatbot is created using IBM Watson Assistant .
Tools & Technology
Technology — Jupyter notebook
Language — Python
Conclusion :
In this project I have learn about how to load dataset , how to apply feature engineering , how to fit model into dataset , how to check accuracy of model , and like many more things that I have learn doing this project .
Github Link :
https://github.com/PrinceAjudiya/Deploy-House-Price-Prediction-Using-Flask-in-Heroku
