Lots of useful functions over Pandas and Python Numpy for Data Science

pip install --upgrade --upgrade-strategy only-if-needed https://github.com/faizanahemad/data-science-utils/tarball/master

Import the following for use

from data_science_utils import dataframe as df_utils
from data_science_utils import models as model_utils
from data_science_utils import plots as plot_utils
from data_science_utils import preprocessing as pp_utils
from data_science_utils.dataframe import column as column_utils
from data_science_utils import misc as misc
from data_science_utils import nlp as nlp_utils
from data_science_utils.models.IdentityScaler import IdentityScaler

Reloading Modules on Fly

import importlib
importlib.reload(misc)
importlib.reload(nlp_utils)
importlib.reload(pp_utils)

• find-the-column-name-which-has-the-maximum-value-for-each-row
• For setting debug points and debugging read this about Ipython Tracer
• Counting Co-occurences

• Detecting Useless features by Covariate shift between train-test sets.

MIT License

Copyright (c) 2019 Faizan Ahemad

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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