44 lines
950 B
TOML
44 lines
950 B
TOML
[build-system]
|
|
requires = ["poetry-core>=1.0.0"]
|
|
build-backend = "poetry.core.masonry.api"
|
|
|
|
[tool.poetry]
|
|
name = "ames-housing"
|
|
version = "0.2.0.dev0"
|
|
|
|
authors = [
|
|
"Alexander Hess <alexander@webartifex.biz>",
|
|
]
|
|
description = "A case study on predicting house prices in Ames, Iowa"
|
|
keywords = [
|
|
"data-science",
|
|
"data-cleaning",
|
|
"house-price-prediction",
|
|
"machine-learning",
|
|
"prediction",
|
|
"predictive-analytics",
|
|
]
|
|
license = "MIT"
|
|
|
|
readme = "README.md"
|
|
homepage = "https://github.com/webartifex/ames-housing"
|
|
repository = "https://github.com/webartifex/ames-housing"
|
|
|
|
[tool.poetry.dependencies]
|
|
python = "^3.8"
|
|
jupyterlab = "^3.0.16"
|
|
missingno = "^0.4.2"
|
|
matplotlib = "^3.4.2"
|
|
numpy = "^1.20.3"
|
|
pandas = "^1.2.4"
|
|
requests = "^2.25.1"
|
|
scikit-learn = "^0.24.2"
|
|
seaborn = "^0.11.1"
|
|
statsmodels = "^0.12.2"
|
|
tabulate = "^0.8.9"
|
|
tqdm = "^4.61.0"
|
|
xlrd = "^2.0.1"
|
|
|
|
[tool.poetry.dev-dependencies]
|
|
black = "^21.5b1"
|
|
pylint = "^2.8.2"
|