Update README.md
93e073e verified - plots Add EDA, clustering, and model result plots
- 1.78 kB Upload Project2_updated_video.mp4
- 4.36 MB Add project notebook
- 2.86 MB Upload Assignment_2_Data_science_course.ipynb
- 177 MB Upload Project2_updated_video.mp4
- 116 MB Upload Project2_video.mp4
- 12.2 kB Update README.md
atp_classifier_winner.pkl Detected Pickle imports (24)
- "sklearn._loss.link.MultinomialLogit",
- "_loss.CyHalfMultinomialLoss",
- "numpy._core.multiarray.scalar",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "_loss.__pyx_unpickle_CyHalfMultinomialLoss",
- "numpy.dtype",
- "sklearn._loss.loss.HalfMultinomialLoss",
- "sklearn.preprocessing._data.StandardScaler",
- "sklearn.ensemble._gb.GradientBoostingClassifier",
- "sklearn.dummy.DummyClassifier",
- "numpy.random._pickle.__bit_generator_ctor",
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "sklearn.tree._tree.Tree",
- "numpy.ndarray",
- "sklearn.impute._base.SimpleImputer",
- "numpy.float64",
- "sklearn.compose._column_transformer._RemainderColsList",
- "numpy.random._mt19937.MT19937",
- "sklearn._loss.link.Interval",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy._core.multiarray._reconstruct",
- "numpy.random._pickle.__randomstate_ctor",
- "builtins.slice",
- "sklearn.pipeline.Pipeline"
How to fix it?
1.47 MB Add winning classifier: Gradient Boosting atp_gb_regressor.pkl Detected Pickle imports (23)
- "sklearn.preprocessing._encoders.OneHotEncoder",
- "numpy._core.multiarray.scalar",
- "numpy.random._pickle.__randomstate_ctor",
- "sklearn.preprocessing._data.StandardScaler",
- "sklearn.dummy.DummyRegressor",
- "numpy.ndarray",
- "sklearn.compose._column_transformer.ColumnTransformer",
- "sklearn.pipeline.Pipeline",
- "sklearn.impute._base.SimpleImputer",
- "numpy.random._pickle.__bit_generator_ctor",
- "sklearn._loss.link.IdentityLink",
- "sklearn.ensemble._gb.GradientBoostingRegressor",
- "numpy.random._mt19937.MT19937",
- "_loss.CyHalfSquaredError",
- "sklearn._loss.link.Interval",
- "numpy.float64",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "sklearn._loss.loss.HalfSquaredError",
- "sklearn.tree._tree.Tree",
- "numpy._core.multiarray._reconstruct",
- "builtins.slice",
- "sklearn.compose._column_transformer._RemainderColsList",
- "numpy.dtype"
How to fix it?
739 kB Add trained Gradient Boosting regressor - 116 MB Upload project 2 video.mp4