Project information

  • Category: Regression
  • Project date: Jan, 2019
  • Project URL: Github
Photo by Holger Link on Unsplash

House Price Prediction

Build a Machine Learning model to predict house prices based on given features in a dataset. This project is using King County Dataset to predict house prices.

Project Requirements

Perform necessary steps to acheive a higher prediction rate.

  • Perform data analysis.
  • Create visualization to improve data understanding.
  • Train a regression model.

Skills Required

Python
Pandas
Matplotlib
numPy
seaborn
Linear Regression
RandomForest Regression

Techniques

Major Tasks

  • Checking for Data summary, correlation, etc.
  • Creating visualization to explore features correlation.
  • Making predictions using trained linear regression on testing set.
  • Comparing results of RandomForest and Linear Regression using MAE, RMSE and R2 metrics.

Completed using Jupyter Notebook.