51 lines
994 B
TOML
51 lines
994 B
TOML
[build-system]
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requires = ["poetry-core"]
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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 = "0.2.0.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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package-mode = false
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[tool.poetry.dependencies]
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python = "^3.9"
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jupyterlab = "^4.2"
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matplotlib = "^3.9"
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missingno = "^0.5"
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numpy = "^2.0"
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pandas = "^2.2"
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requests = "^2.32"
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scikit-learn = "^1.5"
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seaborn = "^0.13"
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statsmodels = "^0.14"
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tabulate = "^0.9"
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tqdm = "^4.66"
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xlrd = "^2.0"
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[tool.poetry.group.dev.dependencies]
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black = {extras = ["jupyter"], version = "^24.4"}
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invoke = "^2.2"
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pylint = "^3.2"
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