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 IdentityScalerReloading 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
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