Metis Data Science Bootcamp : Project Directory
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Updated
May 16, 2018 - HTML
Metis Data Science Bootcamp : Project Directory
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
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
Implementing house price prediction in flask
Predicts the price of houses in Bengaluru City.
Kaggle based data for prediction House Price using ML
Python Data Science for Real Estate REIT Amsterdam, North Holland, The Netherlands
Predicting House Prices in Sao Paulo, Brazil
🏡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.
Segment the Chicago's housing market and determine the main factor's influencing the housing price.
~ UNI/ House Price Comparator (APP + slideshow)
Deploying Heroku App for Predicting House Price
The repository presents a comprehensive project that leverages relevant features to accurately predict the price of Houses.
House Prices - Advanced Regression Techniques Competition/ practice project from Kaggle
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