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adamnovotnycom / lstm_synthetic_data.ipynb
Last active December 19, 2022 11:05
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adamnovotnycom / sklearn_pipe.ipynb
Last active April 2, 2022 15:15
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adamnovotnycom / berkeley_earth_temp_prophet.ipynb
Created May 16, 2021 15:40
berkeley_earth_temp_prophet.ipynb
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adamnovotnycom / berkeley_earth_temp_data.ipynb
Created May 14, 2021 23:58
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adamnovotnycom / berkeley_earth_temp_data.ipynb
Last active April 18, 2021 16:11
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adamnovotnycom / colab_auto_sklearn_profiler.ipynb
Created March 20, 2021 15:50
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adamnovotnycom / airbnb_nyc_kaggle.ipynb
Created December 4, 2020 19:40
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adamnovotnycom / google_100_carbon_free.ipynb
Created October 31, 2020 21:30
google_100_carbon_free.ipynb
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adamnovotnycom / sklearn_pipe.py
Last active June 20, 2020 20:39
sklearn pipeline
# train_dataset: pd.DataFrame
# Columns
# numerical_features = ["close_percent_bb", "macd_diff", "force_index"] ,
# type: float
# categorical_features = ["previous_day_flag"]
# type: str
# value from set {"up", "down", "flat"}
# Example:
# >>train_dataset.loc[:, numerical_features + categorical_features + ["label"]].head(5)
# percent_bb macd_diff force_index previous_day_flag label