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Fall 2020 final project for CSU East Bay's CS697A: Intro to Machine Learning applying of classical machine learning techniques for data analysis and modeling when forecasting housing prices

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
dataset		dataset
references		references
submissions		submissions
.gitignore		.gitignore
Kaggle House Prices - Advanced Regression.ipynb		Kaggle House Prices - Advanced Regression.ipynb
LICENSE		LICENSE
README.md		README.md
SampleSubmissionForHousePrice.csv		SampleSubmissionForHousePrice.csv
kaggle-ames-eda-and-model.ipynb		kaggle-ames-eda-and-model.ipynb
kaggle-ames-model.ipynb		kaggle-ames-model.ipynb
model-report.pdf		model-report.pdf
project_overview.txt		project_overview.txt
submission.csv		submission.csv

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kaggle-ames-housing

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Fall 2020 final project for CSU East Bay's CS697A: Intro to Machine Learning applying of classical machine learning techniques for data analysis and modeling when forecasting housing prices

python kaggle datascience-machinelearning

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MIT license

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