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/ Jupyter Notebook Tricks for Data Science that Enhance your efficiency Demo.ipynb
Created
February 11, 2018 17:28
— forked from noklam/Jupyter Notebook Tricks for Data Science that Enhance your efficiency Demo.ipynb
Demo_1.ipynb
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ocoyawale
/ useful_pandas_snippets.py
Created
February 7, 2018 23:25
— forked from bsweger/useful_pandas_snippets.md
Useful Pandas Snippets
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| # List unique values in a DataFrame column | |
| # h/t @makmanalp for the updated syntax! | |
| df['Column Name'].unique() | |
| # Convert Series datatype to numeric (will error if column has non-numeric values) | |
| # h/t @makmanalp | |
| pd.to_numeric(df['Column Name']) | |
| # Convert Series datatype to numeric, changing non-numeric values to NaN | |
| # h/t @makmanalp for the updated syntax! |
ocoyawale
/ explanation1.ipynb
Created
January 30, 2018 00:47
— forked from serenamm/explanation1.ipynb
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ocoyawale
/ churn-keras-model.ipynb
Created
January 30, 2018 00:46
— forked from arthurbarros/churn-keras-model.ipynb
How to build a simple Keras model with Tensorflow backend
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ocoyawale
/ Ejemplo DSX Churn.ipynb
Created
January 30, 2018 00:45
— forked from preinoso/Ejemplo DSX Churn.ipynb
ejemplo DSX
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ocoyawale
/ hivemall-churn-rf.ipynb
Created
January 30, 2018 00:45
— forked from takuti/hivemall-churn-rf.ipynb
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ocoyawale
/ Churn.ipynb
Created
January 30, 2018 00:45
— forked from amirziai/Churn.ipynb
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ocoyawale
/ CustomerChurn.py
Created
January 30, 2018 00:44
— forked from DhavalThkkar/CustomerChurn.py
Test
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| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Created on Sun May 7 11:52:37 2017 | |
| @author: thakkar_ | |
| """ | |
| # Importing Libraries | |
| import numpy as np | |
| import pandas as pd | |
| import seaborn as sns |
ocoyawale
/ churn.ipynb
Created
January 30, 2018 00:43
— forked from mikaelhg/churn.ipynb
Telco customer churn experimentation
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ocoyawale
/ churn.ipynb
Created
January 30, 2018 00:21
— forked from boonchaik/churn.ipynb
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