House Price Prediction

  • Category: Data Science
  • Project date: November, 2019
  • Project URL: Jupyter Notebook

About

The objective is to predict the sale price of the houses based upon the features. The task here is Multi-Regression modelling. I have used powerful XG-Boost as the prediction model over the data provided by Kaggle. Kaggle Competition Score: 0.14

  • Tech Stack: Jupyter Lab, Anaconda, Python 3+, sklearn, xgboost, pandas, numpy, seaborn, plotly