/Hass-Consult

An independent project aimed at helping a real estate agency define factors that may affect the pricing of a house

Primary LanguageJupyter Notebook

Hass-Consult Prediction Model

RILEY2018-highres-6477-Edit

Background information

Hass consult is a well renown Kenyan based real estate agency that rents and sells reputable

I am working as a Data Scientist for Hass Consulting Company which is a real estate leader with over 25 years of experience. I have been tasked to study the factors that affect housing prices using the given information on real estate properties that was collected over the past few months. Later onwards, create a model that would allow the company to accurately predict the sale of prices upon being provided with the predictor variables

Goal

The goal is to create a model that would allow the company to accurately predict the sale of prices upon being provided with the predictor variables.

Data

This dataset is curated from data that has been collected from the past few months and can be found here : https://ia801407.us.archive.org/31/items/independentprojectweek7housedata/Independent%20Project%20Week%207%20-%20house_data.csv

Environment and tools

  1. Google colab Notebook
  2. Numpy
  3. Pandas
  4. Seaborn
  5. Matplotlib
  6. Scikit-learn

Bugs

No known bugs

License information with a copyright and date

Copyright(c) 2020 , Stephanie Omwanda

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