32 lines
710 B
TOML
32 lines
710 B
TOML
[build-system]
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requires = ["poetry-core>=1.0.0"]
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build-backend = "poetry.core.masonry.api"
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[tool.poetry]
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name = "ames-housing"
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version = "0.1.0.dev0"
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authors = [
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"Alexander Hess <alexander@webartifex.biz>",
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]
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description = "A case study on predicting house prices in Ames, Iowa"
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keywords = [
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"data-science",
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"data-cleaning",
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"house-price-prediction",
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"machine-learning",
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"prediction",
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"predictive-analytics",
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]
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license = "MIT"
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readme = "README.md"
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homepage = "https://github.com/webartifex/ames-housing"
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repository = "https://github.com/webartifex/ames-housing"
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[tool.poetry.dependencies]
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python = "^3.8"
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jupyterlab = "^3.0.16"
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[tool.poetry.dev-dependencies]
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black = "^21.5b1"
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