DimitrisReppas / House_price_analysis_and_prediction

The main objectives of the project are: exploratory data analysis, pre-processing, feature extraction, price prediction of houses.

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Analysis and Prediction of house prices

The main objectives of the project are:

  • exploratory data analysis
  • pre-processing
  • feature extraction
  • price prediction of houses.

Detailed information about the project's scope can be found below:  Data_analysis_and_house_price_prediction.ipynb

Run locally

To run the project locally:

  git clone https://github.com/DimitrisReppas/House_price_analysis_and_prediction.git

Requirements

To install the requirements:

  pip install -r /path/to/House_price_analysis_and_prediction/requirements.txt

EDA, predictions and discussion

Data_analysis_and_house_price_prediction.ipynb is a Jupyter Notebook containing the code for the exploratory data analysis and house price prediction. In this notebook, one can find the discussion of the results as well.

About

The main objectives of the project are: exploratory data analysis, pre-processing, feature extraction, price prediction of houses.


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Language:Jupyter Notebook 100.0%