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lopez-christian / House-Prices-Linear-Regression-Project

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This repository includes my House Prices Multi-Variate Linear Regression-Flatiron School Module 2 Project. In this project I made use of the OSEMN methodology incorporating packages such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.

python machine-learning numpy linear-regression scikit-learn jupyter-notebook pandas seaborn kaggle datascience flatiron-school matplotlib grade flatiron-school-project house-prices scikit-learn-python sellers osemn king-county
  • Updated Apr 28, 2020
  • Jupyter Notebook

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