Metis Data Science Bootcamp : Project Directory
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Updated
May 16, 2018 - HTML
Metis Data Science Bootcamp : Project Directory
A Data Science approach to predict house sales from given dataset. All steps from CRISP-DM Framework are accounted for and Linear Regression is used for modelling.
Kaggle House Prices Predictions
House Price Prediction menggunakan metode Exponential Smoothing dan ARIMA
🏡House Price Prediction, Artificial Intelligence course, University of Tehran
For predicting housing prices in King County, USA, the multiple linear regression performs poorly. Multiple linear regression was unable to caught every patterns in the data. The best adjusted R2 got in the multiple linear model is 0.6999 with RMSE of 149611.2.
Python Data Science for Real Estate REIT Amsterdam, North Holland, The Netherlands
Kaggle based data for prediction House Price using ML
Segment the Chicago's housing market and determine the main factor's influencing the housing price.
The repository presents a comprehensive project that leverages relevant features to accurately predict the price of Houses.
~ UNI/ House Price Comparator (APP + slideshow)
Median House Value predictions, includes Reports explaining how was the inference made and r scripts for the same, also includes python code of the neural network applied
Predicting House Prices in Sao Paulo, Brazil
Implementing house price prediction in flask
Predicts the price of houses in Bengaluru City.
Deploying Heroku App for Predicting House Price
A Web App to predict rent of house.
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